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November 7-11, 2016 R

San Diego, CA E L

CIC24 I Twenty-fourth Color and Imaging M I Conference Color Science and Engineering Systems, Technologies, and N Applications A R Y P R O G R A M

Early Registration Deadline: October 9, 2016 www.imaging.org/color

IS&T

Sponsored by Society for Imaging Science and Technology imaging.org November 7 – 11, 2016 • San Diego, CA

Table of Contents Sponsors Conference At-a-Glance ...... 1 Google Inc. Hewlett-Packard Company Venue Information ...... 1 Image Engineering GmbH Short Course Program ...... 2 IS&T Sustaining Corporate Members Short Courses At-a-Glance ...... 5 Adobe Systems Inc. CIC24 Technical Program ...... 14 HCL America CIC24 Workshops ...... 19 Hewlett-Packard Company Qualcomm Technologies, Inc. ICC DevCon 2016 ...... 22 Samsung Electronics Company Ltd. Hotel and Transportation Info . . . . . 23 Xerox Corporation Conference Registration ...... 24 Cooperating Societies • Associazione Italiana Colore • Inter-Society Color Council (ISCC) • Comité de Color • IOP Printing and Graphics Science Group • The Colour Group (Great Britain) • Swedish Colour Centre Foundation • Deutsche Gesellschaft für Angewandte Optik, DGaO • The Royal Photographic Society of Great Britain • Flemish Innovation Centre for Graphic Communications • Society of Motion Picture and Television Engineers VIGC (SMPTE) • German Society for Color Science and Application (DfwG) • Society of Photographic Science and Technology of • Imaging Society of Japan (ISJ) Japan (SPSTJ)

Program Committee

General Chair Workshop Chairs CIC Steering Committee Philipp Urban Nicolas Bonnier Vien Cheung Fraunhofer Institute for Apple Inc. (USA) University of Leeds (UK) Computer Graphics Research Maria Vanrell Graham Finlayson IGD (Germany) Universitat Autònoma de University of East Anglia (UK) Barcelona (Spain) Suzanne Grinnan Technical Program Chairs IS&T (USA) Michael J. Murdoch Interactive Paper Chairs Michael J. Murdoch Rochester Institute of Adrià Forés Herranz Rochester Institute of Technology (USA) Apple Inc. (USA) Technology (USA) Marius Pedersen Kristyn Falkenstern Marius Pedersen Norwegian University of Digimarc Corporation (USA) Norwegian University of Science and Technology Science and Technology (Norway) JIST-first/CIC Guest Editors Vien Cheung (Norway) Short Course Chairs University of Leeds (UK) Philipp Urban Albrecht Lindner Susan Farnand Fraunhofer Institute for Qualcomm Technologies, Inc. Rochester Institute of Computer Graphics Research (USA) Technology (USA) IGD (Germany) Jeremie Gerhardt Heyshops GmbH (Germany)

©2016 Society for Imaging Science and Technology (IS&T). CIC24: Twenty-fourth Color and Imaging Conference

Conference At-a-Glance

Monday, November 7 Thursday, November 10 Registration open 8:00 – 9:00 AM and Registration open 8:30 – 14:00 4:30 – 5:30 PM • Keynote: “The Evolution of Primate Color • Color, Vision, and Basic Colorimetry,* see Vision,” Gerald H. Jacobs, see page 15 page 2 • IS&T Honors and Awards Presentations • ICC DevCon 2016,* see page 22 • Exhibition • Technical Sessions Tuesday, November 8 • Do You See What I See? Registration open 7:00 AM – 4:00 PM • Interactive Paper Previews I • Short Course Program,* see page 3 • Illuminating Color • Welcome Reception • Interactive Paper Previews II • Interactive Paper Session Wednesday, November 9 • Evening Talk: “The Confluence of Art and Registration open 8:30 AM – 4:00 PM Technology: 3D Printing at LAIKA’s Award- • Opening Keynote: “Full Color Computa- Winning Animation Studio,” Brian McLean tional Imaging with Diffractive Optics,” and Rob Ducey, see page 17 Wolfgang Heidrich, see page 14 • Exhibition Friday, November 11 • Technical Sessions Registration open 7:30 AM – 1:30 PM • Colorful Viewing • Color & Imaging Workshops, see page 19 • Beyond the Rainbow • Keynote: “Google Street View: Unique • Colorful Matter Challenges of Collecting Imagery at • Conference Reception Global Scale,” Luc Vincent and Rom Clement, see page 18 *Separate registration fee required. • Technical Session • Wrangling Color • Best Paper Award Presentations Conference Venue: San Diego, CA

With more than 70 miles of Pacific Ocean coastline and a Mediterranean climate, California’s second largest city offers a relaxed atmosphere. Known for its world-famous Zoo, lovely Balboa Park, the beau- tiful beaches of Coronado Island, and the USS Midway, San Diego is steeped in history related to Mexico and the Spanish settlement of the region. The historic Westgate Hotel—located in the heart of downtown, a few blocks from the Gaslamp Quar- ter—hosts CIC24 (see page 23 for hotel reservation details). In November, temperatures range from 54-69°F/12-21°C with the possibility of minimal The iconic California Building Bell Tower in Balboa Park, site of the 1915 Panama–California and rain. For those who like to swim, ocean temperatures 1935 California Pacific International Expositions. at that time of year average 68°F/18°C. 1 Cover and other images: Suzanne E. Grinnan November 7 – 11, 2016 • San Diego, CA

CIC24 Short Course Program

MONDAY NOVEMBER 7, 2016

M1: Color, Vision, and Basic Colorimetry • The applications best suited to various 8:30 AM – 5:30 PM (8 hours) color spaces. Instructor: Geoff Woolfe, Canon Information Systems Research Australia Pty. Ltd. (CISRA) Intended Audience: scientists and engineers involved in the development and optimiza - This course provides a comprehensive tion of color imaging systems. overview of the fundamentals of vision and color science. It introduces students to the Geoff Woolfe is president of IS&T and the senior anatomy and physiology of the human visual general manager of the Image and Video system and enables students to understand Research Centre at Canon Information Systems the mechanisms of and its rela - Research Australia. Prior to this, he was principal tionship to the science of colorimetry. Cone research scientist in the Xerox Innovation Group and rod vision are discussed in terms of visu - and senior principal research scientist at the al receptive fields, their spectral and tempo - Kodak Research Laboratories. Woolfe received ral response, contrast sensitivity, and adapta - his BSc (Honors) and PhD in physical chemistry tion mechanisms. from the University of Melbourne (Australia) and The course also covers the basic elements MS in imaging science from the Rochester Institute of color, including light sources, material of Technology (USA). He was awarded the Mees properties, and the observer. It introduces Award, Kodak’s highest honor for scientific key foundations of colorimetry including stan - achievement, is a member of the Honor Society of dard illuminants and color matching functions Phi Kappa Phi, and has previously served on the of standard observers. This leads to an expla - steering committee of the International Color nation of basic colorimetry beginning with Consortium. He is the author of more than 30 the XYZ and eventually leading scientific papers and more than 50 US and to explanations of chromaticity spaces and international patents and patent applications in the perceptually uniform color spaces such as fields of color and imaging science. CIELAB and CIELUV.

Benefits: Attendees will be able to understand: Short Course Fees • Detailed anatomic structure and physio - Separate registration is required.

logical function of the human visual system. If you register: by 10/9 after 10/9 • How adaptation mechanisms in the human 2-hour Member $160 $210 visual system affect our perception of 2-hour Non-member $195 $245 color and tone. 2-hour Student $60 $110

• The relationship between colorimetric 4-hour Member $250 $300 systems and properties of light, materials, 4-hour Non-member $300 $350 and observers. 4-hour Student $90 $140 • The concepts of metamerism, illuminant 8-hour Member $450 $500 metamerism, and observer metamerism. 8-hour Non-member $495 $545 • How to compute colorimetric values and 8-hour Student $180 $230 convert between commonly used color spaces. IS&T reserves the right to cancel classes in the event of insufficient advance registration. Please register early.

2 CIC24: Twenty-fourth Color and Imaging Conference

TUESDAY NOVEMBER 8, 2016

FOUR-HOUR CLASSES TWO-HOUR CLASSES 8:00 AM – 12:00 PM 8:00 – 10:00 AM

T1A: Advanced Colorimetry and Color Appearance T1B: Fundamentals of Spectral Measurements for 8:00 AM – 12:00 PM (four hours) Color Science Instructor: Geoff Woolfe, Canon Information 8:00 – 10:00 AM (2 hours) Systems Research Australia Pty. Ltd. (CISRA) Instructor: David R. Wyble, Avian Rochester, LLC

This course builds on the framework of basic After defining the basic terms surrounding the CIE colorimetry to provide students with a instruments and quantities used in spectral broad understanding of color appearance measurements in the color field, this course phenomena and - covers the operation and construction of ling. Students are introduced to the color spectrophotometers and spectroradiometers appearance metrics of , brightness, by discussing the function of each of the var- , saturation, chroma, and . ious subsystems present in the devices. Instru- Several important color appearance phenom- ment standardization and the application of ena, related to changes in the state of adap- CIE geometries for reflectance and transmit- tation of the human visual system are intro- tance are covered. To evaluate instruments, duced. The course then leads on to a detailed the concepts of precision and accuracy of study of the color appearance models more measurement devices is introduced along widely used in commercial and academic with practical suggestions for the analysis of research. instrument performance. The overall goal is to fully understand the procedures and con- Benefits: Attendees will be able to understand: cepts that lead to proper spectral measure- • How changes in the state of visual adap- ments, the basis for colorimetric calculations. tation affect the perceived appearance of colors. Benefits: Attendees will be able to: • A number of important color appearance • Identify the components of spectropho- phenomena and how an understanding tometers and spectroradiometers, as well of these phenomena can affect the design as the functions of each. of imaging systems. • Define the standardization process of • The most important models used to pre- spectrophotometers and understand the dict color appearance phenomena and implications of standardization upon the how the parameters used in these models measurement process. relate to real world viewing environments. • Interpret measurement requirements and se- lect appropriate measurement parameters Intended Audience: color engineers and research and geometries for various applications. scientists involved with color reproduction, • Understand the point of “hand-off” from imaging device developers, and computer spectral measurements to colorimetric software developers. Knowledge of funda- calculations. mental colorimetry is assumed. Intended Audience: color engineers and technol- See bio under course M1, page 2 ogists responsible for making and interpret-

3 November 7 – 11, 2016 • San Diego, CA

ing color measurements of any type. A tech - Benefits: Attendees will be able to: nical background is not required, although • Learn about human vision basics. an understanding of basic scientific princi - • Understand colorimetry and colorspaces, ples is very helpful. from trichromatic theory to standard color - spaces, including reference colorspaces. David R. Wyble is president and founder of • Learn calibrations basics. Avian Rochester, LLC. Since 2011, Avian • Understand color transform tools for VFX: Rochester has been delivering color standards, LUTs, matrixes, CDL. traditional and custom measurements, and con - • Appreciate color management for the sulting services to the color industry. Prior to VFX: color pipelines, OCIO, ACES. founding Avian Rochester, Wyble was a color scientist within the Munsell Color Science Labora - Intended Audience: anyone from novice to expert tory at the Rochester Institute of Technology, and is welcome, but someone already an expert before that a member of Research & Technology in VFX color management might not learn Staff at Xerox Corp. He holds a BS in computer much. There are no prerequisites. science and MS and PhD in color science from RIT and Chiba University, respectively. Marie Fétiveau graduated with an MEng in image multimedia audiovisual and communica - tion (major) and an MS in computer science T1C: Introduction to Color Management for VFX: (Fundamental Computer Sciences and Applica - From Human Vision to Color Pipelines tions major and Imaging and Cinema minor). 8:00 – 10:00 (2 hours) She then worked for eight years at Mikros Image Instructor: Marie Fétiveau, RodeoFX where she developed and managed open- source and proprietary projects for digital cine - Color sciences can sometimes look mysteri - ma, color pipeline, and image processing. ous. But when the knowledge gaps are filled During those years, Fétiveau developed a strong and the dots connected, there is no mystery, interest in ACES and, more generally, in visual everything make sense altogether. This perception coherency. In 2014, she joined course is about filling those gaps to get a RodeoFX as a Color/IO/MP Pipeline TD and good working comprehension of how we was appointed Lead Pipeline TD a year later. handle colors in VFX and furthermore why She pursues her interests on challenging projects. we handle them that way. So, for example, if you are confused when someone talks about gamuts, if you want to know the difference T1D: Fundamentals of Psychophysics between a 1D LUT or a 3D LUT (and why it's 8:00 – 10:00 (2 hours) actually important to know that difference), or Instructor: James A. Ferwerda, Rochester Institute you want to understand why ACES is essen - of Technology tial, this course is a good place to be. Psychophysical methods from experimental psychology can be used to quantify the rela - SHORT COURSE MONITORS tionships between the physical properties of the world and the qualities people perceive. Students wishing to take a course for free The results of psychophysical experiments can volunteer to be a class monitor. Moni - can be used to create models of human per - tors collect tickets, insure participants have ception that can guide the development of ef - class notes, and aid instructors. Interested? fective color imaging algorithms and en - Contact Donna at [email protected]. abling interfaces. This course provides an

4 CIC24: Twenty-fourth Color and Imaging Conference

MONDAY SHORT COURSE M1-Color, Vision, and Basic Colorimetry: 8:30 AM – 5:30 PM TUESDAY SHORT COURSES 8:00 – 10:00 AM 10:15 AM – 12:15 PM 1:30 – 3:30 PM 3:45 – 5:45 PM & n T4A: Normal and Defective o r

i T1A: Advanced Colorimetry T13A: Cone Fundamentals, s o l i T1A continues Colour Vision Across the o V and Color Appearance Color Matching . . . C Lifespan e c

n T1B: Fundamentals of a D r T3B: Scanning of T4B: Color and Appearance 3 Spectral Measurements for T2B: Characterizing Surface a e & p Color Science Appearance 3D Objects in 3D Printing p A y & T4C: The Art of Making a l r T1C: Introduction to Color T2C: Color Optimization for T3C: Color Grading Motion o p l

s Better Pixels—HDR Display i o Pictures for HDR Displays D C Management Displays Concepts and Technologies . s s y e h T2D: Variational Color g p

a T1D: Fundamentals of T3D: Color Image T4D: Colour Difference o

h Image Enhancement Inspired m I c Psychophysics Quality Assessment Perception for Images y & s by Human Vision P

introduction to the theory and practice of psy- assumes a basic level understanding of issues chophysics and teaches attendees how to de- in color and imaging science and engineering velop experiments that can be used to ad- and statistics. No specific knowledge of per- vance color imaging research and ception psychology is required. All relevant applications. Hands-on examples will be concepts are introduced in the class. used throughout so that attendees understand how to design and run their own experi- James A. Ferwerda is an associate professor and ments, analyze the results, and develop per- the Xerox Chair in the Chester F. Carlson Center ceptually-based algorithms and applications. for Imaging Science at the Rochester Institute of Technology. He received a BA in psychology, Benefits: Attendees will be able to: MS in computer graphics, and a PhD in experi- • Identify the major techniques for measur- mental psychology, all from Cornell University. ing perceptual thresholds and scales. The focus of his research is on building computa- • Design perception experiments using tional models of human vision from psychophysi- these techniques. cal experiments and developing advanced imag- • Analyze the data from these experiments ing systems based on these models. to derive perceptual metrics. • Apply these metrics to practical problems 20% SAVINGS in color imaging. Take 3 or more courses and Intended Audience: students and professionals get 20% off your total short course who want to be able to interpret the results of registration fee! perception psychology experiments and devel- op their own perception studies. The course See registration form for details.

5 November 7 – 11, 2016 • San Diego, CA

10:15 AM – 12:15 PM of issues in color/imaging science and engineering. All specialized concepts are T2B: Characterizing Surface Appearance introduced in the class. 10:15 am – 12:15 pm (2 hours) Instructor: James A. Ferwerda, Rochester Institute See bio under T1D, page 5. of Technology

Surface appearance is of critical importance T2C: Color Optimization for Displays in a wide variety of fields including design, 10:15 am – 12:15 pm (2 hours) manufacturing, forensics, medicine, and cul - Instructor: Gabriel Marcu, Apple Inc. tural heritage preservation. In this tutorial, I introduce a framework for characterizing sur - This course introduces color optimization face appearance that includes the visual at - techniques for various display types, (LCDs, tributes of color, gloss, translucency, and tex - plasma, OLED, and projection - DLP, LCD, ture. I then review efforts that have been LcoS), and ranging from mobile devices to made to measure these attributes, and de - large LCD TV screens. Factors such as tech - scribe the psychophysical methods that are nology, luminance level (including HDR), dy - used to relate the physical properties of sur - namic/static contrast ratio, linearization and faces to their visual appearances. Finally, I gamma correction, gray tracking, color discuss the potential for using computer- gamut, white point, response time, viewing graphics techniques to simulate the appear - angle, uniformity, , calibration, ances of complex surfaces and describe how and characterization are discussed and a new digital imaging technologies are being few color optimization methods for displays used to advance the measurement, modeling, are presented. visualization, and communication of surface appearance. Benefits: Attendees will be able to: • Identify the critical color parameters for Benefits: Attendees will be able to: displays and their impact on display • Identify the factors that contribute to the quality for smart phones, tablets, appearances of complex surfaces. notebooks, desktops, LCD TV, and • Understand the physical bases of surface projectors. appearance and how these bases are • Understand color performances and measured. limitations for various LCD modes like • Learn about the psychophysical methods (IPS, MVA, FFS) and performance of the used to relate the physical and perceptual LED backlighting and quantum dot gamut aspects of surface appearance. enhancement. • Distinguish the different systems used to • Select the optimal color model for a describe and communicate surface display and highlight its dependency on appearance. display technology. • Comprehend how computer-graphics and • Understand the translation of the color digital imaging techniques are rapidly model into the display ICC profile and advancing the state-of-the-art in surface how it is used by the color management appearance characterization. module. • Follow a live calibration and characteri - Intended Audience: students and professionals zation of an LCD screen and of the who want to understand the physics and projector used in the class using tools psychophysics of surface appearance. The varying from visual calibrator to course assumes a basic level understanding instrument based ones.

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• Apply the knowledge from the course to Benefits: Attendees will be able to: practical problems of color optimization • Identify a variational technique. for displays. • Describe histogram equalization in terms of minimization of energy functionals. Intended Audience: engineers, scientists, man- • Summarize the most important phenome- agers, pre-press professionals, and those nological properties of the human visual confronting display related color issues. system. • Combine visual features with variational Gabriel Marcu is senior scientist at Apple Inc. principles in order to get efficient color His achievements are in color reproduction on enhancement algorithms. displays and desktop printing (characterization/ • Compare different color enhancement calibration, halftoning, gamut mapping, ICC pro- techniques within the variational frame- filing, HDR imaging, RAW color conversion). He work. holds more than 60 issued patents in these ar- eas. Marcu is responsible for color calibration Intended Audience: intended for two audience and characterization of Apple display portable groups. First, color/imaging scientists and and desktop products. He has taught seminars engineers who would like to acquire informa- and courses on color topics at various IS&T, SPIE, tion about some recent developments of and SID conferences or IMI Europe. He was co- color enhancement inspired by human vision, chair of the 2006 SPIE/IS&T Electronic Imaging and second, Master and PhD students or Symposium and CIC11; he is co-chair of the EI post-docs who wish to approach the rapidly Color Imaging Conference: Displaying, Hard- expanding domain of variational techniques. copy, Processing, and Applications. Marcu is an Variational principles amount to the definition IS&T and SPIE Fellow. of a suitable integral function called “energy” and the computation of its minima. In order to understand this, a general knowledge about T2D: Variational Color Image Enhancement differential calculus of functions is strongly Inspired by Human Vision recommended. 10:15 – 12:15 (2 hours) Instructor: Edoardo Provenzi, University Paris Descartes Edoardo Provenzi is an associate professor at the University Paris Descartes, France since 2014. He In the last twenty years, variational principles obtained a master in theoretical physics (2000) in image processing and computer vision from the University of Milan, Italy, and a PhD in flourished. They allowed a deeper compre- applied mathematics (2004) from the University of hension of important image features and pro- Genoa, Italy. Since 2004, he has been studying vided more efficient solutions to many practi- color vision and processing. His main research cal problems. This holds true also for color field is in the application of variational principles image processing. The first part of this short to formalize color enhancement techniques. course provides a brief qualitative introduc- tion to variational techniques, which is then applied to re-interpret the well-known his- togram equalization method. During the sec- 20% SAVINGS ond part, you are shown how to modify the variational framework of histogram equaliza- Take 3 or more courses and tion to take into account some basic proper- get 20% off your total short course ties of the human visual system. Results on registration fee! natural images are presented and discussed. See registration form for details.

7 November 7 – 11, 2016 • San Diego, CA

1:30 – 3:30 PM • Learn how molecular genetics affect cone spectral sensitivity. T3A: Cone Fundamentals, Color Matching • Origins of individual differences in cone Functions, Luminous Efficiency, and Individual spectral sensitivity. Differences • Adjust standard cone spectral sensitivities 1:30 – 3:30 pm (2 hours) to take into account individual differences. Instructor: Andrew Stockman, UCL Institute of • Measure individual differences. Ophthalmology Intended Audience: scientists and engineers with The trichromacy of human color vision an interest in the basics of color vision and depends on the spectral sensitivities of the colorimetry and the application of the new long-, middle-, and short-wavelength-sensitive CIE TC 1-36 “physiologically-relevant” inter - (L, M, and S) cones. These functions are also national standard. known as the “fundamental” color matching functions (CMFs) or cone fundamentals. They Andrew Stockman has been the Steers Chair of are the physiological determinants of human Investigative Eye Research at University College color matching, and thus all other CMFs London (UCL) Institute of Ophthalmology since should be linear transformations of them. The 2001. His broad research area is visual psy - cone fundamentals of Stockman & Sharpe chophysics; his specializations include color (2000) have been adopted by CIE TC 1-36 vision, rod vision, visual adaptation, temporal as the “physiologically-relevant” international sensitivity, and clinical psychophysics. He is best standard for colorimetry. This course covers known for his work on human spectral sensitivi - the physiological underpinnings of those ties. The Stockman & Sharpe cone spectral sensi - cone fundamentals, their derivation and their tivities and the related luminous efficiency func - relationship to other color matching func - tion have been adopted by the Commission tions, and luminous efficiency functions. As Internationale de l'Éclairage (CIE) as an interna - well as being important as mean or standard tional standard for color definition and color functions, the functions can also be modified measurement. He is the principal author of the to account for individual differences. Colour & Vision Research Laboratories database website (www.cvrl.org), a widely-used color Benefits: Attendees will be able to: resource for both science and industry. • Understand the basics of phototransduction and how it relates to univariance and to cone spectral sensitivities. T3B: Scanning of 3D Objects • Learn about the determination of cone 1:30 – 3:30 pm (2 hours) spectral sensitivities in normal and color Instructor: Holly Rushmeier, Yale University deficient observers. • Appreciate the relationship of cone spec - This course provides an overview of tech - tral sensitivities to RGB color matching niques used to capture 3D shape and ap - functions. pearance. The principles of active methods, • Observe the relationship of cone spectral which use controlled projected light, are out - sensitivities to luminous efficiency functions lined. Active methods include the use of both and the determination of luminous visible and infrared patterns. They make use efficiency. of either triangulation, photometric stereo, or • Appreciate the relationship of cone time-of-flight to estimate shape. Passive meth - spectral sensitivities to XYZ color match - ods use ambient light and employ shape from ing functions and the derivation of the motion algorithms from computer vision. Pas - CIE TC 1-36 XYZ CMFs. sive methods have become more popular as

8 CIC24: Twenty-fourth Color and Imaging Conference

the quality of cameras has increased and al- jectors. This course provides an overview of gorithms have been refined. Appearance current HDR technology used in cinema and data may be obtained coincident with shape television, focusing on the creative and tech- data or may be estimated from photographs nical challenges of mastering both new and in a separate process. Examples of using archival content for HDR displays. Topics cov- captured models in computer graphics, biolo- ered include a summary of creative options gy, and cultural heritage are given. made available by HDR displays, current processes for color correction and mastering Benefits Attendees will be able to: both animated and live action content, and • Understand the different methods for 3D areas that could benefit from better tools and scanning in terms of cost, ease of use, additional research. Case studies from recent and reliability. television and major motion pictures will be • Understand the applicability of different used to show how creative color choices are scanning techniques as a function of ob- established and adjusted through the film ject size and material. making process and realized for HDR and • Appreciate the level of human interaction non-HDR delivery formats. required to process 3D data into a useful 3D model. Benefits Attendees will be able to: • List current HDR delivery and display for- Intended Audience: students or practitioners who mats and the strength and weaknesses of are interested in obtaining 3D models as in- each. put to design or as documentation. A bache- • Describe the basic concepts, tools, and lor’s degree in science or engineering is transforms used in HDR motion picture required. production color pipelines. • Appreciate creative challenges when Holly Rushmeier is a professor of computer sci- mastering for both standard and HDR ence at Yale. She received a PhD (1988) in me- displays. chanical engineering from Cornell. Since receiv- • Understand common approaches to cre- ing her PhD she has held positions at Georgia ative HDR color grading. Tech, NIST, and IBM TJ Watson Research. Her current research focuses on scanning and model- Intended Audience: motion picture professionals, ing of shape and appearance properties, and on engineers, software developers, and imaging applications in the digital humanities and cultural researchers who wish to gain a more com- heritage. She is a EuroGraphics Fellow and re- plete technical understanding of HDR master- ceived the 2013 ACM SIGGRAPH Computer ing. A basic understanding of colorimetry Graphics Achievement Award. and image processing is expected.

Stefan Luka is a senior software engineer and col- T3C: Color Grading Motion Pictures for HDR or scientist at Walt Disney Feature Animation, Displays where he oversees the production and mastering 1:30 – 3:30 pm (2 hours) color pipelines. His work in the motion picture in- Instructors: Stefan Luka, Walt Disney Feature dustry has also included film restoration, digital Animation, and Peter Postma, FilmLight cinema systems, and display development. He received a BS in engineering and applied sci- High dynamic range (HDR) projectors and ence from Caltech and a MS in color science displays pose new challenges to film makers from RIT. mastering for these new formats while contin- Peter Postma is product manager at FilmLight, uing to support existing TVs and cinema pro- developing tools incorporated into the Truelight

9 November 7 – 11, 2016 • San Diego, CA

color management and Baselight color grading these as a set of distinct metrics for evaluat - systems used in motion picture productions large ing image quality. We show the use of spider and small. Previously, he worked as a systems en - plots to illustrate how they separately and gineer at Kodak helping pioneer digital interme - cumulatively affect overall image quality. diate technology. He studied film and animation Finally, we illustrate the use of these image at RIT. quality concepts for the evaluation of printer workflows.

T3D: Color Image Quality Assessment Benefits: Attendees will be able to: 1:30 – 3:30 pm (2 hours) • Understand the basic spatiochromatic Instructors: Jan Allebach, Purdue University, and characteristics of the human visual Marius Pedersen, Norwegian University of system. Science and Technology • Understand methods for conducting psy - chophysical experiments to subjectively Image quality assessment is a topic of grow - assess image quality. ing interest that has also been the subject of • Be familiar with the major image quality much recent research. In this short course, we metrics in use today and how to evaluate examine the current thinking about color im - their performance. age quality from several different vantage • Understand methods for pooling the re - points. First, we examine models that are in - sults of spatial image quality maps to spired by the spatiochromatic properties of yield a single-number assessment of over - the human visual system, or by thinking about all image quality. the visually relevant structural characteristics • Understand what the major image quality of images. These spatiochromatic approach - attributes are, what they measure, and es typically lead to a processed image that how they are computed. reflects visual significance of image errors on • Know how to generate and interpret spi - a pixel-by-pixel basis. They can account for a der-plots that provide an integrated view number of important aspects of human vision, of how a given image performs across a including masking. Such pixel error maps set of image quality attributes. may be converted to a single number that • Gain insight into the application of the summarizes overall image quality by various concepts introduced in this course to the approaches to spatial summation, including solution of real-world problems in imag - the accounting for visual saliency. ing systems development. In this course, we describe some of these approaches, including those that are based Intended Audience: scientists, engineers, ana - on training with machine learning methods. lysts, and managers involved in the design, Furthermore, we discuss methods for conduct - engineering, manufacturing, marketing, or ing psychophysical experiments to evaluate evaluation of imaging and printing products, these specific aspects of image quality and algorithms, or systems. Participants should be how these results are used to evaluate the familiar with the function and basic proper - performance of objective image quality met - ties of imaging systems. A rudimentary rics. We introduce the most common perform - knowledge of color science, linear systems, ance measures and show examples of the and image processing will be helpful, but is performance of state-of-the-art image quality not essential. metrics. At last we focus to identify a set of key image quality attributes, such as tone re - Jan P. Allebach is Hewlett-Packard Distinguished production, sharpness, contrast, graininess, Professor of electrical and computer engineering color fidelity, and artifacts, and to compute at Purdue University. He holds courtesy appoint -

10 CIC24: Twenty-fourth Color and Imaging Conference

ments in computer and psychological sciences. 3:45 – 5:45 PM Technologies developed in his laboratory have been licensed to major vendors of printers and T4A: Normal and Defective Colour Vision Across can be found in products that have sold 100s of the Lifespan millions of units world-wide. Allebach is a Fellow 3:45 – 5:45 pm (2 hours) of IS&T, IEEE, the National Academy of Inventors, Instructor: Caterina Ripamonti, Cambridge Research and SPIE. He was named 2004 Electronic Imaging Systems Ltd. and University College London Scientist of the Year and is an Honorary Member of IS&T, the highest award bestowed by the The course aims to provide a general intro- Society. He is the recipient of the IEEE Daniel E. duction to normal and defective color vision Noble Award, was elected to membership in the and to describe the principles of some exist- National Academy of Engineering, and is the ing software and tools that can be used to recipient of the 2016 Edwin H. Land Medal simulate how images may be perceived by given jointly by OSA and IS&T. From Purdue Uni- observers with normal or defective color vi- versity, he is the recipient of ten different awards sion across the lifespan. The first part of the for teaching, mentorship, and research. He course provides the physiological fundamen- currently serves as a Distinguished Lecturer for the tals to understanding how color vision oper- IEEE Signal Processing Society. ates and focuses on the causes underlying in- dividual differences in the perception of color Marius Pedersen is associate professor in the across the lifespan. In particular, we examine Norwegian Colour and Visual Computing the changes in color vision that take place as Laboratory at the Norwegian University of a consequence of the early development or Science and Technology (NTNU), Norway. His aging of the visual system. This is followed by work is centered on image quality assessment an analysis of the differences between color and he has more than 50 publications in this vision in normal trichromats and observers af- field. He received his BsC in computer engineer- fected by inherited or acquired color defi- ing (2006) and MiT in media technology (2007) ciencies. The differences between normal from Gjøvik University College, Norway. He re- trichromats and affected observers are con- ceived his PhD in color imaging (2011) from the sidered in terms of spatial, temporal, and col- University of Oslo, Norway, with a dissertation or resolution as well as their light and dark on image quality metrics for the evaluation of adaptation processes. The second part con- printing workflows under the supervision of centrates on simulating how vision changes Pr. Hardeberg, Pr. Albregtsen, and Dr. Bonnier, during the lifespan. This is followed by the sponsored by Océ. He is currently the head of the presentation of some image processing tech- Norwegian Colour and Visual Computing niques used to simulate the differences be- Laboratory at NTNU. tween normal and affected observers in per- ceiving colored images. 20% SAVINGS Benefits: Attendees will be able to: Take 3 or more courses and • Understand how normal color vision get 20% off your total short course operates. registration fee! • Learn about the causes underlying individual differences in perceiving color. See registration form for details. • Appreciate the difference between normal and affected color vision. • Simulate how vision changes during the lifespan.

11 November 7 – 11, 2016 • San Diego, CA

Intended Audience: color engineers, scientists and Intended audience: attendees wishing to become designers. Those who wish to understand col - more familiar with the opportunities and or vision of normal trichromats as well as ob - challenges of the emerging field of graphical servers with defective color vision. Those inter - 3D printing, which may include color and ested in understanding the principles of how imaging specialists, 3D printer designers, to correct and improve the visual discrimina - and software developers. tion of images by affected observers or normal trichromats of different ages. Philipp Urban is head of the Competence Center 3D Printing Technology at the Fraunhofer IGD in Caterina Ripamonti is a research scientist at Darmstadt, Germany, where he works on the ap - Cambridge Research Systems Ltd. and an pearance reproduction of objects using multima - Honorary Senior Research Fellow at UCL Institute terial 3D printers. During his career he has been of Ophthalmology and Moorfields Eye Hospital a visiting scientist at the Munsell Color Science (UK). She is the author of numerous papers on hu - Laboratory at RIT and head of the color research man color vision, spatial and temporal properties group at TU Darmstadt. He holds an MS in math - of normal and defective vision, and applied as - ematics from University of Hamburg and a PhD pects of color science related to human factors. from Hamburg University of Technology. She is also the co-author of the book Computa - tional Colour Science using MATLAB . T4C: The Art of Making Better Pixels: High Dynamic Range Display Concepts and Technologies T4B: Color and Appearance in 3D Printing 3:45 – 5:45 pm (2 hours) 3:45 – 5:45 pm (2 hours) Instructor: Timo Kunkel, Dolby Laboratories Instructor: Philipp Urban, Fraunhofer Institute for Computer Graphics Research IGD The field of High Dynamic Range imaging or HDR was coined more than 20 years ago. Novel 3D printers can combine multiple col - During this time, various building blocks have orful materials in a single object enabling the been designed that are suitable to form per - reproduction of an object’s color, texture, ceptually compelling as well as technologi - gloss, and translucency in addition to its cally efficient HDR display systems, especially shape. This short course provides an overview in the context of comprehensive HDR imaging of the relevant 3D printing technologies and pipelines. Now, with the advent of main - focuses on the color and appearance repro - stream HDR technologies, it is important to duction pipeline. identify several key perceptual and techno - logical concepts to avoid pitfalls that can im - Benefits: Attendees will be able to: pact image fidelity when processing, trans - • Understand the basic concepts of 3D print - mitting, and displaying HDR imagery. This ing as they relate to color and appearance. course is intended as an introduction into • Understand the differences between the high dynamic range display system and its existing color-capable 3D printing related imaging pipelines. technologies. • Describe ways to represent color and oth - Benefits: Attendees will be able to: er appearance properties attached to 3D • Understand how the human visual system shapes. perceives the physical world around us and • Learn the main principles of the 3D color how HDR display technologies cater to this. reproduction pipeline. • Understand how much display luminance • Have a basic understanding of 3D and contrast do we benefit from expand - surface halftoning. ing the dynamic range

12 CIC24: Twenty-fourth Color and Imaging Conference

• Appreciate how we should display the images, respectively. The former covers the ‘real’ physical world and how we convey fundamental in understanding color differ- artistic intent. ence assessments such as visual assessment • Understand the interaction between HDR methods, reference viewing condition, and and Wide Color Gamut Imaging. evaluation and development of color differ- • Identify the difference of vivid and ence formulae using visual results. The latter dynamic TV modes vs. true HDR and introduces the way and theory to extend the wide gamut display. formulae based on patches for evaluating • Evaluate the impact of 2D dual modula- images such as conventional formula with tion technologies in comparison to other add-on spatial filters, color appearance display types such as OLED. model based formula and image appear- • Identify the importance of a display’s ance model. Furthermore, the experiments white and black levels, its tone curve, conducted associated with CIE Technical and quantization steps as well as its color Committee 8-02 Colour Difference Evaluation gamut volume. for Images are introduced. The visual results • Differentiate the considerations for creat- were used to evaluate the performance of ing compelling content that lives up to the various types of formulae. capabilities of HDR displays. Benefits: Attendees will be able to: Intended Audience: it is aimed at anyone working • Learn the techniques for visually assessing in image display related fields such as dis- . play design, content creation, image trans- • Understand different types of color differ- port and broadcast, and vision science. No ence formulae. direct previous knowledge is required but a • Evaluate the performances of color differ- basic understanding of traditional display ence formulae. and imaging concepts is beneficial. • Apply color difference formula for the im- aging industry. Timo Kunkel is a senior researcher for Dolby Labo- ratories. His main areas of research are HDR and Intended Audience: color engineers and research wide color gamut imaging, advanced display sys- scientists involved with color reproduction, tems, virtual reality technologies, and psycho- imaging device developers, computer soft- physics. Over the last 15 years he also worked as ware developers. Knowledge of the funda- an architecture and landscape photographer fo- mental colorimetry is assumed. cusing on computational photography approaches. He received his PhD in computer science from the Ming Ronnier Luo is a global expert professor in University of Bristol, UK and MSc in physical ge- the Department of Optical Engineering, Zhejiang ography, remote sensing, and environment model- University, China; professor of colour and imag- ing from the University of Freiburg, Germany. ing science at the School of Design, University of Leeds, UK, and the Director of Colour and Imag- ing and Illumination Centre (CIIC) at the Nation- T4D: Colour Difference Perception for Images al Taiwan University of Science and Technology. 3:45 – 5:45 pm (2 hours) He is also the Vice President of CIE. He has more Instructor: Ronnier Luo, Zhejiang University, than 480 publications in color and imaging sci- University of Leeds, and National Taiwan ence, recently in illumination engineering. He is University of Science and Technology a Fellow of IS&T and the Society of Dyers and Colourists. This course is divided into two parts: color difference evaluation for color patches and

13 November 7 – 11, 2016 • San Diego, CA

Technical Program

Wednesday November 9, 2016 OPENING KEYNOTE Full Color Computational Imaging with 9:00 – 10:00 AM Diffractive Optics WELCOME AND OPENING Wolfgang Heidrich, King Abdullah KEYNOTE University of Science and Technology Full Color Computational Imaging with (KAUST) Diffractive Optics, Wolfgang Heidrich, King Abdullah University of Science and Technology Co-designing optics and computational (KAUST) (Saudi Arabia) methods provides access to new regions in the optical design space, promising 10:00 AM – 12:40 PM improved imaging performance and in - COLORFUL VIEWING creased flexibility. Computational imag - Large-Gamut Color and Spectral Display Us - ing with diffractive optics in particular ing Sub-Wavelength Gratings, Peter shows great promise for lighter, more Morovic, 1 Ján Morovic, 1 Francesco Aieta, 2 compact, flexible, and powerful imaging Marco Fiorentino, 3 Charles Santori, 4 and systems. In this talk I will outline some re - David Fatal 2; 1HP Inc. (Spain), 2LEIA 3D, cent advances that promise to make dif - 3Hewlett-Packard Laboratories, and 4Verily fractive optics competitive for full-color (USA) imaging with small and lightweight form JIST-First QUALITAS: Image Quality Assess - factors. ment for Stereoscopic Images, Cristian Bonanomi, 1 Christine Fernzndez–Maloigne, 2 Jamie Moreno, 3 and Alessandro Rizzi 1; 1Uni - versità degli Studi di Milano (Italy), 2University 2:00 – 3:40 PM of Poitiers (France), and 3National Polytechnic BEYOND THE RAINBOW Institute (Mexico) Efficient Multispectral Reflectance Function Visibility of Spatiotemporal Noise in Digital Capture for Image-based Relighting, Chloe Video, Tamara Seybold, Betina L. Koelln, LeGendre, Xueming Yu, and Paul Debevec, Aynur Pasha, and Harald Brendel, Arnold & USC Institute for Creative Technologies (USA) Richter Cine Technik (Germany) Spectral Image Analysis of Florescent Ob - Temporal Drift Correction of Residues for jects with Mutual Illumination, Shoji Perceptually based Video Compression, Tominaga, Keiji Kato, Keita Hirai, and Mark Q. Shaw, HP Inc. and Jan P. Allebach Takahiko Horiuchi, Chiba University (Japan) and Edward J. Delp, Purdue University (USA) Evaluating Robustness of the Method to JIST-First Orientation Modulation for Data Estimate Five Components from Skin Spec - Hiding in Chrominance Channels of Direct tral Image, Misa Hirose, Rina Akaho, and Binary Search Halftone Prints, Vlado Norimichi Tsumura, Chiba University (Japan) Kitanovski and Marius Pedersen, Norwegian Non-Contact Video based Estimation of University of Science and Technology Pulse Transit Time Using Quantitation (Norway) Method of Hemoglobin Level, Munenori PARAWACS: Color Halftoning with a Single Fukunishi, 1 Taku Yonezawa, 1 Genki Okada, 1 Selector Matrix, Peter Morovic and Ján Kouki Kurita, 1 Shoji Yamamoto, 2 and Morovic, HP Inc. (Spain), and Jay Gondek, Norimichi Tsumura 1; 1Chiba University and Matthew Gaubatz, and Robert Ulichney, HP 2Tokyo Metropolitan College of Industrial Inc. (USA) Technology (Japan)

14 CIC24: Twenty-fourth Color and Imaging Conference

AUTHOR DEMONSTRATIONS

This year CIC is again including author Thursday November 10, 2016 demonstrations in the program. This event supplements technical talks and allows attendees the opportunity to view the hard- 9:00 – 10:00 AM ware, software, test charts, test images, THURSDAY KEYNOTE AND IS&T etc. discussed during presentations. These AWARDS demonstrations will occur during the con- The Evolution of Primate Color Vision, ference coffee breaks. Speakers interested Gerald H. Jacobs, University of California, in participating should contact Donna Santa Barbara (USA) Smith at [email protected]. 10:00 AM – 12:40 PM Demultiplexing Visible and Near-Infrared DO YOU SEE WHAT I SEE? Information in Single-Sensor Multispectral Colour Vision during the Developing Age, Imaging, Zahra Sadeghipoor,1 Jean-Baptiste Caterina Ripamonti, Sarah Kalwarowsky, and Thomas,2 and Sabine Susstrunk1; 1EPFL Marko Nardini, Cambridge Research (Switzerland) and 2Bourgogne University Systems, Ltd. (UK) (France) JIST-First Using a Behavioral Match-to- Sample Method to Evaluate Color Vision 4:20 – 5:20 PM Deficiency Simulation Methods, Joschua COLORFUL MATTER Thomas Simon-Leidtke and Ivar Farup, CIC 24 Best Paper Award Winner Modelling Norwegian University of Science and Incomplete Chromatic Adaptation and Technology (Norway) Colour Contrast Using Memory Colour, Qiyan Zhai,1 M. Ronnier Luo,1, 3 Peter Hanselaer,2 and Kevin A.G. Smet2; 1Zhejiang THURSDAY KEYNOTE University (China), 2KU Leuven (Belgium), and The Evolution of Primate Color Vision 3University of Leeds (UK) Gerald H. Jacobs, University of Investigating Performance of Uniform Color California, Santa Barbara Spaces for High Dynamic Range and Wide Gamut Color Difference Applications, Human color vision represents only one Muhammad Safdar,1 M. Ronnier Luo,1,2 and of a number of alternative ways in which Guihua Cui3; 1Zhejiang University (China), animals exploit spectral differences in 2University of Leeds (UK), and 3Wenzhou their visual environments in support of University (China) behavioral choice. In recent years, com- Visual Perception of 3D Printed Translucent parative examinations of color vision in Objects, Bui Minh Vu,1 Philipp Urban,2 Tejas a wide variety of different species, cou- Madan Tanksale,2 and Shigeki Nakauchi1; pled with even more broad-scale studies 1Toyohashi University of Technology (Japan) of the genes that specify photopigment and 2Fraunhofer Institute for Computer proteins (opsins), have provided insights Graphics Research IGD (Germany) into the multiple pathways followed dur- ing the evolution of color vision. Among 6:30 – 9:30 PM other things, these advances show how CONFERENCE RECEPTION our own color capacity and that of our Join colleagues under the stars as we gather close primate relatives likely arose. around the hotel’s rooftop pool for conversa- tion, libations, and food

15 November 7 – 11, 2016 • San Diego, CA

Individual Differences in Color Matching and Color Image Enhancement Using Weighted Adaptation: Theory and Practice, Mark D. Multi-Scale Correction Coefficients, Ji-Hoon Fairchild, Rochester Institute of Technology (USA) Yoo, Wang-Jun Kyung, Shibudas Kattakkalil A Revisit of the MacAdam Colour Discrimi- Subhashdas, and Yeong-Ho Ha, Kyungpook nation Ellipses, Maria Georgoula,1 Guihua National University (Korea) Cui,2 and Ronnier Luo1,3; 1University of Leeds Illuminant Chromaticity Estimation via (UK), 2Wenzhou University, and 3Zhejiang Optimization of RGB Channel Standard University (China) Deviation, Shibudas Kattakkalil Subhashdas, JIST-First Effects of Color Pairs on Warmth Ji-HoonYoo, and Yeong-Ho Ha, Kyungpook Perception in Interiors, Begüm Ulusoy and National University (Korea) Nilgün Olguntürk, Bilkent University (Turkey) 2:00 – 3:20 PM 12:20 – 12:40 PM ILLUMINATING COLOR TWO-MINUTE INTERACTIVE Effects of Inter-Observer Variation on Color PAPER PREVIEWS I Rendering Metrics, Michael J. Murdoch and Improvement of Appearance from Motion by Mark D. Fairchild, Rochester Institute of Using Omni-Directional Camera, Ryota Technology (USA) Domon,1 Shoji Yamamoto,2 Hiroshi Kintou,3 Evaluation of the IES Method for Evaluating and Norimichi Tsumura1; 1Chiba University, Light Source Color Rendition in Terms of 2Tokyo Metropolitan College of Industrial Metamer Mismatching, Brian Funt, Ben Hull, Technology, and 3Nikon Corporation (Japan) and Xiandou Zhang, Simon Fraser University Perceptually Equivalent Luminance Level of (Canda) Large-Screen TVs, Taeseong Han, Sungjin Extension of CIE Whiteness Metric under Dif- Kim, and Dongwoo Kang, LG Display Co., ferent Illuminants Shining Ma,1 Jing Liang,1,2 Ltd. (Korea) Minchen Wei,3 and Ming R. Luo1,4; 1Zhejiang Emotion Monitoring Using Remote Measure- University (China), 2Dalian Polytechnic Univer- ment for Physiological Signals by Camera, sity (China), 3The Hong Kong Polytechnic Uni- Genki Okada, Taku Yonezawa, Kouki Kurita, versity (Hong Kong), and 4University of Leeds and Norimichi Tsumura, Chiba University (UK) (Japan) Three-Dimensional Test Target for Illuminant Artist Paint Spectral Database, Roy S. Berns, Analysis, Nathan Moroney, Ingeborg Tastl, Rochester Institute of Technology (USA) and Melanie Gottwals, HP Labs (USA) Viewpoint Entropy for Material Appearance, Yuto Hirasawa,1 Shoji Yamamoto,2 Ryota 3:20 – 3:50 PM Domon,1 Hiroshi Kintou,3 and Norimichi TWO-MINUTE INTERACTIVE Tsumura1; 1Chiba University, 2Toyko PAPER PREVIEWS II Metropolitan College of Industrial Technology, A Revision of CIECAM02 and its CAT and and 3Nikon Corporation (Japan) UCS, C.J. Li1,3 Z. Li,1 Z. Wang,1 Y. Xu,1 M. R. Classification of Painting Techniques with Luo,2 G. Cui,3 M. Melgosa,4 Color Run-Length Matrices, Alexandre Bony and M. Pointer2; 1University of Science and and Christine Fernandez-Maloigne, University Technology Liaoning (China), 2University of of Poitiers (France) Leeds (UK), Wenzhou3 University (China), and Exploiting Wide-Gamut Displays, Greg 4University of Granada (Spain) Ward, Hyunjin Yoo, Afsoon Soudi, and Tara Akhavan, Irystec, Inc. (USA) Robust Multispectral Data Hiding in RGB Im- Extended Linear Color Correction, Graham age Using Digital Watermarking, Kazushige Finlayson1,2 and Garrett Johnson2, 1University Banzawa, Kazuma Shinoda, and Madoka of East Anglia (UK) and 2Apple Inc. (USA) Hasegawa, Utsunomiya University (Japan)

16 CIC24: Twenty-fourth Color and Imaging Conference

Functional Illumination Supporting the Visual Detection of Plaques, Taisei Kondo,1 Juan L. EVENING TALK Nieves,2 Eva M. Valero,2 Hiroshi Higashi,1 The Confluence of Art and Technology: and Shigeki Nakauchi1; 1Toyohashi University 3D Printing at LAIKA’s Award-Winning of Technology (Japan) and 2University of Animation Studio Granada (Spain) Brian McLean and Rob Ducey, Laika Color Spaces Emerging from Deep Convolu- Animation Studios tional Networks, Ivet Rafegas and Maria Vanrell, Universitat Autònoma de Barceolona (Spain) Known for its use of rapid prototyping for The Effectiveness of Colour Appearance At- facial animation—for which it was recog- tributes for Enhancing Image Preference and nized with a 2016 Scientific and Engi- Naturalness, Yuteng Zhu,1 M. Ronnier Luo,1,2 neering Award from the Academy of Sebastian Fischer,3 Peter Bodrogi,3 and Tran Motion Picture Arts and Sciences Quoc Khanh3; 1Zhejiang University (China), (Oscars®)—in the Oscar®-nominated ani- 2University of Leeds (UK), and 3Technische Uni- mated films The Boxtrolls, ParaNorman, versität Darmstadt (Germany) and Coraline, LAIKA studios is versed in The Necessity of a Whiteness Scale for FWA- the challenges of color and 3D printing. Enhanced Whites, Minchen Wei,1 Shining Join Director of Rapid Prototype Brian Ma,2 and Ming R. Luo2,3; 1The Hong Kong McLean and Technical Director Rob Polytechnic University (Hong Kong), 2Zhejiang Ducey as they discuss what they’ve University (China), and 3University of Leeds (UK) learned since they began this technical An iccMAX Material Profile Example: Con- adventure a decade ago. verting Spectral Images of Artwork to Paint- Concentration Images, Ben Bodner amd Roy S. Berns, Rochester Institute of Technology (USA) Comparison of Parameters for Texture Char- Individual Corresponding Colors Data and acterization, Rafael Huertas,1 Pooshpanjan R. Chromatic Adaptation Transforms, Shengyan Biswas,1 Charlotte Fraza,1 Alain Tremeau,2 Cai, Tianjin University of Science & Technology Ana Gebejes,3 and Markku Hauta-Kasari3; (China), and Mark D. Fairchild, Rochester 1University of Granada (Spain), 2University Institute of Technology (USA) Jean Monnet (France), and 3University of East- Color Recommendation for Drawing based ern Finland (Finland) Image Retrieval on Mobile Devices, Zhan Xu, Designing Spectral Power Distribution of Illu- Guoping Qiu, and Chao Zhang, University of mination with to Enhance Color Nottingham (China) Saturation, Masaru Tsuchida, Kaoru Hiramatsu, ICC Profile Color Table Compression, Chuo- and Kunio Kashino, NTT Communication hao Tang,1 Weibao Wang,1 Sean Collison,2 Science Laboratories (Japan) Mark Shaw,2 Jay Gondek,2 Amy Reibman,1 and Jan P. Allebach1; 1Purdue University and 3:50 – 5:20 PM 2HP Inc. (USA) INTERACTIVE SESSION New Spectral Data for Skin Colours, Meng- meng Wang,1 Ming Ronnier Luo,1,3 Kaida 8:15 – 9:15 PM Xiao,2 Sophie Wurger,2 and Yuzhao Wang3; EVENING TALK 1University of Leeds (UK), 2University of Liver- Sponsored by HP Inc. pool (UK), and 3Zhejiang University (China) The Confluence of Art and Technology: 3D Optimization of Color Accuracy, Luminous Printing at LAIKA’s Award-Winning Anima- Efficiency, and Color Gamut in Display Me- tion Studio, Brian McLean and Rob Ducey, dia Technology, Rodney L. Heckaman, QD Laika Animation Studios (USA) Vision, Inc. (USA)

17 November 7 – 11, 2016 • San Diego, CA

Friday November 11, 2016 CLOSING KEYNOTE Google Street View: Unique Challenges COLOR AND IMAGING of Collecting Imagery at Global Scale, WORSHOPS Luc Vincent and Rom Clement, Google Inc. see page 19 for details; select workshop when registering for the conference Computer vision, geospatial imagery, big data, machine learning, large scale 8:00 AM – 12:00 PM systems, image processing and analysis, Camera Color Characterization: Theory and and of course color all come together in Practice the creation and deployment of Google’s Chair: Sabine Süsstrunk, École Polytechnique 360° Street View. In this keynote, the en - Fédérale de Lausanne (Swizerland) gineering and technical challenges with particular emphasis on those related to 8:30 AM – 12:00 PM color are discussed. The Life of a Color (Sponsored by ISCC) Chairs: David R. Wyble, Avian Rochester, LLC 1:30 – 2:30 PM and John Conant, Aerodyne Research, Inc. CLOSING KEYNOTE AND CIC (USA) AWARDS Sponsored by Google 9:00 AM – 12:00 PM Closing Keynote: Google Street View: Color Science for 3D Printing: From Mondri - Unique Challenges of Collecting Imagery at an to Miró Global Scale, Luc Vincent and Rom Clement, Chairs: Peter Morovic, HP Inc. (UK) and Ján Google Inc. (USA) Morovic, HP Inc. (Spain) 2:30 – 4:45 PM WRANGLING COLOR JIST-First Random CFAs are Better than EXHIBIT AT CIC24! Periodic Ones, David Alleysson and Prakhar Amba, Université Grenoble Alpes, and Jérôme Dias, Orme Signals & Images (France) Interested in exhibiting or sponsoring an Scene Color Correction under Non-Uniform event at CIC? Exhibit space is limited; con - Spatial Illumination and Atmospheric tact Donna Smith to learn more about ex - Transmittance, Hiroaki Kotera, Kotera hibits and sponsorship opportunities at Imaging Laboratory (Japan) [email protected]. Use of Simulated Reflectance Spectra in Camera Transform Creation, Michael J. Vrhel, Artifex Software (USA) Color Homography Color Correction, Become part of the CIC Graham Finlayson and Han Gong, University online community! of East Anglia, and Robert Fisher, University of Edinburgh (UK) Search LinkedIn for JIST-First Strengths and Limitations of a “color and imaging conference” Uniform 3D-LUT Approach for Digital Cam - era Characterization, Sebastian Fischer, Paul Myland, Matthias Szarafanowicz, Peter Bodrogi, and Tran Quoc Khanh, Technische Universität Darmstadt (Germany)

18 CIC24: Twenty-fourth Color and Imaging Conference

CIC Workshops W2:The Life of a Color (sponsored by ISCC) A workshop is included with your conference 8:30 – 12:00 registration. It is also possible to register for Chairs: David R. Wyble, Avian Rochester, LLC just the ISCC-sponsored workshop (W2). See and John Conant, Aerodyne Research, Inc. (USA) registration form for details. Within the context of the CIC technical pro- W1: Camera Color Characterization gram, “color” has a more limited scope, and 8:00 – 12:00 does not typically include creative and pro- Chair: Sabine Süsstrunk, EPFL (Switzerland) duction aspects. This workshop is designed to help expose attendees to those and other This workshop covers the process of camera facets of color, all described as how a color characterization in theory and practice. Back- is processed through various disciplines. This ground and demonstrations are provided on exposure can help technologists “connect the all important aspects. Many camera manufac- dots” by learning first hand how color and turers utilize traditional test chart based color imaging research is applied. characterization methods because of reluctance This workshop will serve as the technical to change running systems or incomplete ap- content for the 2016 Annual Meeting for the preciation of the benefits of modern charac- Inter-Society Color Council (ISCC), but the terization techniques. This workshop identifies content is appropriate for all conference at- known issues in traditional approaches and tendees. The workshop will be followed by demonstrates potential solutions using current the ISCC Annual Business Meeting Lunch (ad- technology including multispectral LED light ditional fee). Four presentations begin with sources, in situ measurements of spectral radi- the creative design process and work through ances of natural objects, and modern color color communication, production, and finally transform methods including multidimensional perception. color look up tables. This workshop provides all the information needed to implement ad- The Design of a Color (Leslie Harrington, vanced color correction in cameras and soft- CAUS) ware. Speakers for this workshop are: How a brand color is originally selected? What are the associated strategic decisions • The need for camera characterization to align the color with a product/brand’s and calibration and the impact of color attributes? How are colors properly placed, correction on general image quality both geographically and in the right (Kevin Matherson, Microsoft Corporation) customer segments? • Target based versus spectral camera characterization (Eric Walowit, The Management of a Color (Max Derhak, consultant) Onyx Graphics) • Target based versus in situ spectral Traditional color management has used only training data (Dietmar Wueller, Image CIEXYZ colorimetry. New systems account for a Engineering GmbH & Co. KG) complete color process: from light sources onto • Multidimensional color lookup tables objects, and captured through color matching, (Michael Vrhel, Artifex Software, Inc.) including perceptual aspects of color. • Live demonstration of spectral camera characterization, camera transform The Manufacturing of a Color (Ann Laidlaw, generation, and matching from capture ACL Color Consulting LLC) to display (in cooperation with all speakers) The path of a color is described from the

19 November 7 – 11, 2016 • San Diego, CA

creative process through development, ap - problems that require rigorous work and cre - proval, and manufacturing. The use of robust ative solutions. This workshop is both an standards and consistent procedures is overview of the state-of-the-art, as well as an crucial to managing accurate color with invitation for the community to tackle them. on-time deliveries, especially when products are fabricated from multiple materials. Color 3D Printing and its Challenges (Ján Morovic and Peter Morovic, HP Inc.) The Perception of a Color (Mark Fairchild, Even though 3D color printing technologies RIT) build up objects layer-by-layer, and these lay - Follow a photon from the sun, to an object, ers are two-dimensional, it would be a mis - into the human eye. Those photons are traced take to think of 3D simply as stacked 2D to their ultimate fate in a cone photoreceptor. printing. From color formation, where local Finally, aspects of neuroscience are used to material combinations in an object are the explore how the photons result in color basis, via metrology challenges following appearance. from complex surface geometry and phenom - ena like translucency, to the intricacies even of having reliable psychophysical methods W3: Color Science for 3D Printing: From Mondrian for the evaluation of color appearance, color to Miró in 3D is anything but a simple extension of its 9:00 AM – 12:00 PM 2D counterpart. These, and other, aspects of Chairs: Peter Morovic and Ján Morovic, HP Inc. 3D printing pose challenges for delivering (Spain) predictable and consistent color properties and call for new scientific and engineering This workshop looks at the state-of-the-art of work. At the same time, there is existing color science in 3D, as well as presents the knowledge in adjacent fields that can accel - upcoming challenges of 3D printing in color. erate the process of understanding and con - While there is a rich and well established trolling color in 3D printing, which we would body of work in the Mondrian world (2D) like to facilitate in this workshop. that allows us to predict, model, and measure the colors of surfaces, their appearance in a Color Measurements for 3D Printing (Philipp given environment, the perceptual differences Urban, Fraunhofer Institute for Computer between surfaces under a variety of condi - Graphics Research IGD) tions, perform reliable psychophysic and psy - I start the talk by showing that measurements cho-visual experiments etc., a Miró world made by spectrophotometers used in the (3D) has additional complexity and addition - graphic arts industry are systematically al degrees of freedom that need to be consid - biased towards lower reflectance for many ered for a thorough understanding of how we resin materials used in multimaterial 3D print - perceive colors of objects that have different ing. Then, I present a gonio-imager particu - shapes, depths, textures, and surface finish - larly dedicated to sample the Bidirectional es—and that vary significantly with illumina - Reflectance Distribution Functions (BRDF) of tion geometry etc. A straight-forward appli - such materials or material compositions cation of 2D methods often fails to deliver arranged in a color-characterization chart. since, after all, these were derived for a flat The setup comprises an almost colorimetric world where many of these effects can be RGB camera and a spectrally tunable light discounted. source allowing it to perform bidirectional The field of color science in 3D is still rela - reflectance measurements or to act as a bidi - tively young and is a treasure trove of open rectional colorimeter. At the end of the talk, I

20 CIC24: Twenty-fourth Color and Imaging Conference

introduce a modular, fully-automatic color 3D for flat color samples. It is not straightforward scanning pipeline developed at our institute. or accurate to apply conventional color It is capable of capturing bidirectional color image reproduction technique for 3D printed information in addition to shape by combin- objects. Moreover, it is greatly difficult to ing photogrammetry and structured light evaluate color reproduction for 3D printed scanning. objects objectively using current technology. In this presentation, a brief summary of color Material Appearance Measurement: The reproduction for 3D printed objects is given. Road to Reality (Marc Ellens, X-Rite, Inc.) The limitation of CIE colorimetry for color Material appearance is more than color; it reproduction of 3D printed object is given isolates the characteristics of the material that special interest. A method to develop new an observer uses to identify, categorize, and technique to fulfill color reproduction of 3D ultimately use the material for its intended printed object is discussed. purpose. The wide range of materials has often posed a challenge for virtualization as Tangible Imaging Systems: Bringing Virtual many characteristics of material representa- Surfaces into the Real World (James A. tion need to be hand-crafted. Measured ma- Ferwerda, RIT) terial appearance provides a direct construc- Surfaces are everywhere, and it’s through the tion of these appearance characteristics, interaction of light with surfaces, that we visu- shortening product lifecycles, and delivering ally perceive the properties of the world. We more physically accurate and realistic visual- often create images of surfaces to document izations. We address such questions as: what their visual properties, and it’s clear that im- is material appearance? what characteristics ages can serve quite well as visual represen- of geometry contribute to the appearance? tations of surfaces. However, the visual infor- how can it be captured with today’s and to- mation we get from an image of a surface is morrow’s technology? what methods we can not the same that provided by the surface it- use to communicate this appearance? and, self. In particular, we get a lot of information what are the challenges as we move about surface properties by interacting with forward? surfaces, either through direct manipulation, or through observation from different view- Overview of Color Image Reproduction for points, and conventional images don’t sup- 3D Printing Using CIE Colorimetry (Kaida port either of these behaviors. For this reason Xiao, University of Liverpool) we have been working to develop tangible With dramatically developed 3D color print- imaging systems, that harness the power of ing technique, the accurate color manage- digital modeling, computer graphics, and ment and reproduction for 3D printed objects sensor technologies to produce new kinds of becomes more and more important, although images that look and behave much more like it is still a huge challenge for color and imag- the surfaces they represent. ing science. Conventional color image repro- In this talk, I describe our efforts to devel- duction techniques based on CIE Colorimetry op a tangible imaging system we call have been developed for more than 20 years ImpastoR that supports the photometrically- and perform very well in transforming color accurate and visually-realistic simulation of images from one digital media to another un- surfaces with complex color, gloss, and tex- der various viewing conditions. However, tural properties in real-world lighting environ- CIE standard observer and psychophysical ments, and allows users to interact with and data for color appearance modelling and manipulate these virtual surfaces as naturally color difference evaluation were all obtained as if they were real ones. I discuss the poten-

21 November 7 – 11, 2016 • San Diego, CA

tial uses of tangible imaging systems in a flat. In addition, the features to be measured range of scientific, cultural, and commercial may be small relative to the apertures of applications. many commercially available spectropho - tometers and difficult to access with bulky Color Assessment of Teeth and Skin Using equipment. Color assessment using digital Digital Imaging (Stephen Westland, images potentially provides an alternative University of Leeds) route to conventional color measurement but Quantification of the colorimetric and color in practice presents several different technical appearance properties of teeth and skin in challenges. This presentation explores the vivo present serious technical challenges. Un - difficulties in using digital cameras to assess like many man-made materials (including color and color appearance of teeth and many plastics, textiles, and painted surfaces) skin. Several practical case studies are pre - teeth and skin are three-dimensional struc - sented to demonstrate ways in which digital tures that present a surface that is often not imaging can be used in this context. ICC DevCon 2016

International Color Consortium Developers Conference 2016 Monday, November 7, 2016 • Westgate Hotel, in conjunction with CIC24 ICC DevCon 2016 focuses on presenting real world solutions and applications using iccMAX. Several real world scenarios can now be directly addressed by iccMAX based approaches that could not be easily accomplished with previous color management solutions. Attendees gain a better understanding of both the background as well as the practical appli - cation of their iccMAX based solutions.

Your opportunity to learn from experienced users in the imaging, printing, and publishing color community.

Program www.color.org/DevCon/devcon2016/index.xalter • Introduction to iccMAX from the Business Perspective (William Li, Kodak) • Color Tuning of a Painting by a Multispectral Lighting System—An iccMAX-based Approach (Pei-Li Sun and Wei-Chun Hung, NTUST, Taiwan) • A Spectral Workflow for Encoding and Analyzing Artwork with iccMAX (Ben Bodner and Roy Berns, RIT) • Modeling Colour Vision Deficiency with ICC Profiles (Phil Green, NTNU in Gjøvik) • Correction of Display Viewing Angle with iccMAX (James Vogh, X-Rite) • Implementing Observer Metamerism Correction on Wide Color Gamut Display using iccMAX Framework (Chris Bai, BenQ) • WORKSHOP Hands-on with RefIccMAX (Max Derhak, Onyx Graphics) • Reception and Table Exhibit

Fees $300 IS&T/ICC members / $200 each additional registration from the same company $400 non-members / $300 each additional registration from the same company Early bird special: Register by October 9, 2016 with your CIC registration and get $50 off. Register for ICC DevCon when you register for CIC, see page 24.

22 CIC24: Twenty-fourth Color and Imaging Conference

Hotel and Travel Information

The Westgate Hotel 1055 Second Avenue, San Diego, CA 92101 • + 1 619 238 1818

Rate: Deluxe King $189/night plus 12.5% tax. Note that room includes a refrigerator, complementary bottled water, and internet. Check in/out: 3:00 pm/noon

Rate availability: The discounted rate is available 3 days prior to the conference thru the night of the 11th, based on availability. Full payment for the first night and tax is due by the reser- vation deadline. Reservations made by the deadline will be confirmed when full payment for the first night is received.

Reservation Deadline: October 15, 2016 *Note: We suggest you make your reservations as soon as possible as there is a large conference coming into the city at the end of our meeting week and the rooms we are holding will revert to them after the Oct. 15 deadline.

Reservations: http://bit.ly/1QqQaDi or via phone: +1 800 522 1564 / Reference: CIC24

Cancellation Policy: Deposit is refundable if individual gives cancellation notice at least 10 days before arrival.

Parking: The hotel has valet parking, with in/out privileges, for $36/day.

Transportation Information Airport: San Diego International Airport (SAN) is 3.1 miles from the hotel. For more informa- tion, visit www.san.org

Getting to/from Hotel/Airport Via Taxi: Charge is approximately $15 to the hotel, depending on time of day and traffic.

Via San Diego Bus: The San Diego Bus system makes stops in both Terminal 1 and 2 of the airport. Take Route 923 to Downtown from the airport to Broadway & 3rd Avenue. It is approximately a one minute walk to the hotel. One-way fare is $2.25. For more information, visit www.sdmts.com/schedules-real-time.

Via Rental Car: There are 15 rental car agencies with the San Diego International Airport Rental Car Center, which is accessible via free shuttle. We advise renting cars online prior to arrival.

Getting around San Diego: Taxies, buses, and the San Diego Trolley are all available for trans- portation around the city. There is a trolley stop across the street from the hotel. One-way fare is $2.50. There are multiple bus stops located around the hotel. One-way fare is $2.25. For more information regarding the bus and trolley, visit www.sdmts.com/schedules-real-time.

23 November 7 – 11, 2016 • San Diego, CA

CIC24 Conference Registration Go to www.imaging.org/ist/conferences/CIC to register online. Name______Title/Position ______Company ______Mailing Address ______Telephone ______Fax ______Email ______

Conference registration includes admission to all technical sessions, CIC workshops, coffee breaks, Welcome and Conference Receptions, and conference abstract book and proceedings on flash drive . Separate registration fees are required for short courses. 1. Technical Program Registrations (CHECK ONE) Please check ALL that apply. I am a: Ì speaker Ì session chair Ì committee member Ì IS&T member Ì only taking short courses Ì short course instructor Please note: To better serve your needs, IS&T is offering conference registration options that include membership REGULAR STUDENT thru after thru after with either JIST or JEI at the same rate as a non-member fee. Oct 9 Oct 9 Oct 9 Oct 9 __ Conference registration: current IS&T/ISJ Member $745 $845 $150 $250 __ Conf. registration (+ new or renewing membership + JIST)* $845 $945 $175 $275 Membership begins within 2 weeks of registration and expires 12/31/17. __ Conf. registration (+ new or renewing membership + JEI)* $845 $945 $175 $275 Membership begins within 2 weeks of registration and expires 12/31/17. __ Conference non-member registration $845 $945 $375 $475 __ One-day: Ì Wed Ì Thurs Ì Fri $445 $495 $150 $200 __ ISCC-sponsored Workshop W2: The Life of Color ONLY** $175 $225 $60 $110 __ ISCC Business Meeting and Lunch*** $10 $15 $10 $15 __ ICC Dev/Con IS&T/ICC Member**** $250 $300 $50 $50 __ ICC Dev/Con Non-member**** $350 $400 $50 $50

2. CIC Workshop Selection (free with registration; select ONE) K W1: Camera Color Characterization K W2: The Life of a Color (sponsored by ISCC) K W3: Color Science for 3D Printing: From Mondrian to Miró K I do not plan to attend a workshop

* Membership benefits include access to the IS&T Digital Library, an online subscription to the Journal of Imaging Science and Technology (JIST) or Journal of Electronic Imaging (JEI) , The Reporter newsletter, conference fee discounts, and access to the member directory, among other things. Membership takes effect by 11/15/16 and expires 12/31/17. This offer may be used for renewals. ** Conference registrants may take Workshop W2 for free as part of their conference registration. This option is for those coming only for the workshop. *** The Inter-Society Color Consortium (ISCC) Business Meeting and Lunch follows the W2 workshop, from noon to 1:30 pm. ****If more than one member of your company is registering for ICC DevCon 2016, we suggest you register via the DevCon website as there are discounts for additional people coming from the same company. 24 CIC24: Twenty-fourth Color and Imaging Conference

3. Short Course Registration (be sure to multiply number of classes by per course fee and place on total line) Please note: Course notes for most classes are provided electronically prior to the conference for printing or viewing on your computer. Instructors without e-notes will provide hardcopies in class. thru after Oct 9 Oct 9 TOTAL ___ M1: Color, Vision, and Basic Colorimety Member $450 $500 $ ______M1: Color, Vision, and Basic Colorimety Non-member $495 $545 $ ______Student M1: Color, Vision, and Basic Colorimety $180 $230 $ _____

___ T1A: Adv. Colorimetry and Color Appearance Member $250 $300 $ ______T1A: Adv. Colorimetry and Color Appearance Non-mem. $300 $350 $ ______T1A: Adv. Colorimetry and Color Appearance Student $90 $140 $ _____

___ 2-hour Member (per class; select below) $160 $210 $ ______2-hour Non-member (per class; select below) $195 $245 $ ______2-hour Student (per class; select below) $60 $110 $ _____ Check all that apply K T1B K T1C K T1D K T2B K T2C K T2D K T3A K T3B K T3C K T3D K T4A K T4B K T4C K T4D OR Take ANY three or more classes and receive 20% off the total price (enter three or more courses, fill in member or non-member fee next to each, add, and multiply by .80 to get your price, representing 20% savings; add additional lines if needed; students may not take advantage of this offer) T or M____ $ _____ + T____ $ _____ + T____ $ _____ = $______x .80 =$ _____

4. Extras ___ Extra copy of conference proceedings $135 $ ______Guest ticket for Welcome Reception $35 $ ______Guest ticket for Conference Reception $65 $ _____ Name/Affiliation of Guest for badge: ______

total from previous page $ _____ Wire transfer fee ($25 if applicable) $ _____ GRAND TOTAL $ _____

Payment Method: K AmEx K MasterCard K VISA K Discover K Wire Transfer K Check Card#: ______Exp. Date: ______Name as it appears on card: ______Authorization Signature: ______

Return this form with signed credit card authorization to IS&T, 7003 Kilworth Lane, Springfield, VA 22151 or fax to 703/642-9094. Contact [email protected] for wire transfer information; $25 must be added to the total for wire transfer payments to cover bank costs.

Please note: To cover bank charges and processing fees, there is a cancellation fee of $75 until November 1, 2016. After that date, the cancellation fee is 50% of the total plus $75. No refunds will be given after November 25, 2016. All requests for refund must be made in writing. 25 Twenty-fourth Color and Imaging Conference / CIC24 NON-PROFIT ORG. Society for Imaging Science and Technology US POSTAGE PAID Merrifield, VA 7003 Kilworth Lane Permit No. 2333 IS&T Springfield, VA 22151 USA 703/642-9090; 703/642-9094 (fax) imaging.org

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