Optimization of Monochromatic Primaries in RGB System: on the Specific Question of Purples
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Color Models
Color Models Jian Huang CS456 Main Color Spaces • CIE XYZ, xyY • RGB, CMYK • HSV (Munsell, HSL, IHS) • Lab, UVW, YUV, YCrCb, Luv, Differences in Color Spaces • What is the use? For display, editing, computation, compression, …? • Several key (very often conflicting) features may be sought after: – Additive (RGB) or subtractive (CMYK) – Separation of luminance and chromaticity – Equal distance between colors are equally perceivable CIE Standard • CIE: International Commission on Illumination (Comission Internationale de l’Eclairage). • Human perception based standard (1931), established with color matching experiment • Standard observer: a composite of a group of 15 to 20 people CIE Experiment CIE Experiment Result • Three pure light source: R = 700 nm, G = 546 nm, B = 436 nm. CIE Color Space • 3 hypothetical light sources, X, Y, and Z, which yield positive matching curves • Y: roughly corresponds to luminous efficiency characteristic of human eye CIE Color Space CIE xyY Space • Irregular 3D volume shape is difficult to understand • Chromaticity diagram (the same color of the varying intensity, Y, should all end up at the same point) Color Gamut • The range of color representation of a display device RGB (monitors) • The de facto standard The RGB Cube • RGB color space is perceptually non-linear • RGB space is a subset of the colors human can perceive • Con: what is ‘bloody red’ in RGB? CMY(K): printing • Cyan, Magenta, Yellow (Black) – CMY(K) • A subtractive color model dye color absorbs reflects cyan red blue and green magenta green blue and red yellow blue red and green black all none RGB and CMY • Converting between RGB and CMY RGB and CMY HSV • This color model is based on polar coordinates, not Cartesian coordinates. -
Cosmology with a Two-Parameter Perturbation Expansion
Astronomy Unit School of Physics and Astronomy Queen Mary University of London Two-parameter Perturbation Theory for Cosmologies with Non-linear Structure Sophia Rachel Goldberg Submitted in partial fulfillment of the requirements of the Degree of Doctor of Philosophy 1 Declaration I, Sophia Rachel Goldberg, confirm that the research included within this thesis is my own work or that where it has been carried out in collaboration with, or supported by others, that this is duly acknowledged below and my contribution in- dicated. Previously published material is also acknowledged below. I attest that I have exercised reasonable care to ensure that the work is original, and does not to the best of my knowledge break any UK law, infringe any third party's copyright or other Intellectual Property Right, or contain any confidential material. I accept that the College has the right to use plagiarism detection software to check the electronic version of the thesis. I confirm that this thesis has not been previously submitted for the award of a degree by this or any other university. The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author. Signature: Date: 19th November 2017 Details of collaboration and publications: the research in this thesis is based on the publications and collaborations listed below. `Cosmology on all scales: a two-parameter perturbation expansion' Sophia R. Goldberg, Timothy Clifton and Karim A. Malik Physical Review D 95, 043503 (2017) `Perturbation theory for cosmologies with nonlinear structure' Sophia R. -
Basic Color I
Basic Color I Up to this point we have explored and /or reviewed 4 several basic visual elements that will help develop a solid foundation for a Language of Painting. With a strong focus on the dynamics of paint application, we have connected simple dots with confident lines, con- figured lines into a wide array of shapes, and applied contrasting pigments in concert with varied pressures to yield seamless gradations of value. However, the previous chapter incorporated a new element that many find to be one of the most powerful tools for the creative endeavor-- color. The Painted Pressure Scale chapter, had us grow our palette from the sparse black and white that we have started with to include three colors: Red, Yellow and Blue. It is our hope that your experience generated a good number of questions from this inaugural color use. With this chapter we will take some first steps towards answering those questions. We will also revisit some of the color concepts you may already hold and introduce you to some of the more advanced methods for identifying, using and understanding this brilliant aspect of the artist’s salvo. On any initial investigation into color we are faced with a robust vocabulary of terms and concepts that may leave us somewhat confused. Like the many other aspects of our curriculum, we make a strong effort to simplify all of this. We will endeavor to make use of what you may have learned in the past and offer options for you to integrate color in the manner you wish into your creative process efficiently and effectively. -
Development of a Methodology for Analyzing the Color Content of a Selected Group of Printed Color Analysis Systems
AN ABSTRACT OF THE THESIS OF Edith E. Collin for the degree of Master of Sciencein Clothing, Textiles and Related Arts presented on April 7, 1986. Title: Development of a Methodology for Analyzing theColor Content of a Selected Group of Printed Color Analysis Systems Redacted for Privacy Abstract approved: Ardis Koester The purpose of this study was to develop amethodology to compare the color choice recommendationsfor each personal color analysis category identified by the authorsof selected publications. The procedure used included: (1) identification of publications with color analysis systemsdirected toward female clientele; (2) comparison of number and names of categoriesused; (3) identification, by use of Munsell colornotations, the visual and written color recommendations ascribed toeach category; and (4) comparison of the publications on the basisof: (a) number and names of categories; (b) numberof color recommendations in each category; (c) range of hue value and chroma presented;(d) comparison of visual and written color recommendations by categoryand author. With the exception of comparison of publications onthe basis of written color recommendations, all components of themethodology were successful. Comparison of the publications used in development ofthe methodology revealed that: 1. The majority of authors use the seasonal category system. 2. The number of color recommendations per category was quite consistent within a publication but varied widely among authors. 3. There were few similarities in color recommendations even among authors using the same name categories. 4. There was poor agreement between written and visual color recommendations within all color categories. 5. There was no discernable theoretical basis for the color recommendations presented by any author included in this study. -
Color Space Conversion
L Technical Color Space Information Conversion The role of color space conversion in the process of scanning and reproduc- ing a color image begins the moment an image is captured by a scanner and continues through the point at which it is output on film. For the purpose of this article we will discuss conversions between three types of color systems: RGB, CIE, and CMYK. The RGB (Red, Green, & Blue) and CMYK (Cyan, Magenta, Yellow, & Black) color models have been described in greater detail in the Linotype-Hell Technical information piece entitled Color in Printing. For some background information on the CIE (Commission Internationale de l’Eclairage), please refer to Color Spaces and PostScript Level 2. CIE as a reference color space Most scanners acquire color in the form of RGB data. The majority of non- photographic printing methods employ CMYK inks or toners. In a closed sys- tem, where the characteristics of both the scanner and the printing method are well-defined, conversions may be made from RGB to CMYK through tables that maintain a reasonable level of color consistency. The process becomes somewhat more difficult as you add monitors, other scanners, proofing devices or printing processes that have different characteristics. It becomes critical to have a consistent yardstick, if you will, a means of con- verting between different color systems (and back again) without a loss in color fidelity. This is what CIE provides. Let’s start with some background on CIE, and then we will look at how it can be applied in an open system. Measuring color Light reflected off of, or transmitted through a colored object can be mea- sured by the wavelengths of light that are reflected or transmitted. -
Color Measurement1 Agr1c Ü8 ,
I A^w /\PK4 1946 USDA COLOR MEASUREMENT1 AGR1C ü8 , ,. 2001 DEC-1 f=> 7=50 AndA ItsT ApplicationA rL '"NT SERIAL Í to the Grading of Agricultural Products A HANDBOOK ON THE METHOD OF DISK COLORIMETRY ui By S3 DOROTHY NICKERSON, Color Technologist, Producdon and Marketing Administration 50! es tt^iSi as U. S. DEPARTMENT OF AGRICULTURE Miscellaneous Publication 580 March 1946 CONTENTS Page Introduction 1 Color-grading problems 1 Color charts in grading work 2 Transparent-color standards in grading work 3 Standards need measuring 4 Several methods of expressing results of color measurement 5 I.C.I, method of color notation 6 Homogeneous-heterogeneous method of color notation 6 Munsell method of color notation 7 Relation between methods 9 Disk colorimetry 10 Early method 22 Present method 22 Instruments 23 Choice of disks 25 Conversion to Munsell notation 37 Application of disk colorimetry to grading problems 38 Sample preparation 38 Preparation of conversion data 40 Applications of Munsell notations in related problems 45 The Kelly mask method for color matching 47 Standard names for colors 48 A.S.A. standard for the specification and description of color 50 Color-tolerance specifications 52 Artificial daylighting for grading work 53 Color-vision testing 59 Literature cited 61 666177—46- COLOR MEASUREMENT And Its Application to the Grading of Agricultural Products By DOROTHY NICKERSON, color technologist Production and Marketing Administration INTRODUCTION cotton, hay, butter, cheese, eggs, fruits and vegetables (fresh, canned, frozen, and dried), honey, tobacco, In the 16 years since publication of the disk method 3 1 cereal grains, meats, and rosin. -
Study Guide PHYSICS 534 (Revised Edition 2001)
Student Study Guide PHYSICS 534 (Revised Edition 2001) Leonardo da Vinci 1452 - 1519 Student Study Guide Physics 534 (Revised Edition - 2000) This Study Guide was written by a committee of Physics teachers to help students prepare for the Physics 534 theory/written examination. The contents of the Guide are: • Problem-Solving Strategy • Module 1: The Nature of Light • Module 3: Mechanics • Psst... You want to see the answers to the exam? • Appendices: Equations and Table of Trigonometric Ratios The section on Problem-Solving Strategies presents students with examples of an effective strategy for answering constructed-response type questions. The two Modules are presented in sections that cover one or more objectives of the program. These sections include Key Concepts, Examples and Sample Questions. The answers and solutions to the Sample Questions may be found at the end of the Guide. Objectives have occasionally been grouped together or presented in an order different from the MEQ program at the discretion of the authors. The last section takes student through an entire examination, showing the reasoning steps that lead to the correct answers. The Guide is designed as a study tool for students and is not to be considered as an official course program. For a more detailed description of the course content and learning activities, please refer to the document 16-3177A, Secondary School Curriculum Physics 534: The Discovery of Matter and Energy, published by the Gouvernement du Québec, Ministère de l’Éducation 1992 ISBN: 2-550-23345-X. 1999-2000 Physics 534 Study Guide Committee Physics Teachers Patrick Elbaz Royal Vale School Ron Craigwell Beaconsfield High School Louise Ogilvie Laurentian Regional High School Andre Vamvakas Lauren Hill Academy Irwin Worshell Lindsay Place High School Project Coordinator Jan Farrell Science Action Plan Committee This project was funded by the Science Action Plan Committee (SAPCO) and the Ministère de l’Éducation: Services à la communauté anglophone – Direction des politiques et des projets (SCA-DPP). -
Light and Color
Chapter 9 LIGHT AND COLOR What Is Color? Color is a human phenomenon. To the physicist, the only difference be- tween light with a wavelength of 400 nanometers and that of 700 nm is Different wavelengths wavelength and amount of energy. However a normal human eye will see cause the eye to see another very significant difference: The shorter wavelength light will different colors. cause the eye to see blue-violet and the longer, deep red. Thus color is the response of the normal eye to certain wavelengths of light. It is nec- essary to include the qualifier “normal” because some eyes have abnor- malities which makes it impossible for them to distinguish between certain colors, red and green, for example. Note that “color” is something that happens in the human seeing ap- Only light itself paratus—when the eye perceives certain wavelengths of light. There is causes sensations of no mention of paint, pigment, ink, colored cloth or anything except light color. itself. Clear understanding of this point is vital to the forthcoming discus- sion. Colorants by themselves cannot produce sensations of color. If the proper light waves are not present, colorants are helpless to produce a sensation of color. Thus color resides in the eye, actually in the retina- optic-nerve-brain combination which teams up to provide our color sen- Color vision is sations. How this system works has been a matter of study for many years complex and not and recent investigations, many of them based on the availability of new completely brain scanning machines, have made important discoveries. -
Color Appearance Models Today's Topic
Color Appearance Models Arjun Satish Mitsunobu Sugimoto 1 Today's topic Color Appearance Models CIELAB The Nayatani et al. Model The Hunt Model The RLAB Model 2 1 Terminology recap Color Hue Brightness/Lightness Colorfulness/Chroma Saturation 3 Color Attribute of visual perception consisting of any combination of chromatic and achromatic content. Chromatic name Achromatic name others 4 2 Hue Attribute of a visual sensation according to which an area appears to be similar to one of the perceived colors Often refers red, green, blue, and yellow 5 Brightness Attribute of a visual sensation according to which an area appears to emit more or less light. Absolute level of the perception 6 3 Lightness The brightness of an area judged as a ratio to the brightness of a similarly illuminated area that appears to be white Relative amount of light reflected, or relative brightness normalized for changes in the illumination and view conditions 7 Colorfulness Attribute of a visual sensation according to which the perceived color of an area appears to be more or less chromatic 8 4 Chroma Colorfulness of an area judged as a ratio of the brightness of a similarly illuminated area that appears white Relationship between colorfulness and chroma is similar to relationship between brightness and lightness 9 Saturation Colorfulness of an area judged as a ratio to its brightness Chroma – ratio to white Saturation – ratio to its brightness 10 5 Definition of Color Appearance Model so much description of color such as: wavelength, cone response, tristimulus values, chromaticity coordinates, color spaces, … it is difficult to distinguish them correctly We need a model which makes them straightforward 11 Definition of Color Appearance Model CIE Technical Committee 1-34 (TC1-34) (Comission Internationale de l'Eclairage) They agreed on the following definition: A color appearance model is any model that includes predictors of at least the relative color-appearance attributes of lightness, chroma, and hue. -
ARC Laboratory Handbook. Vol. 5 Colour: Specification and Measurement
Andrea Urland CONSERVATION OF ARCHITECTURAL HERITAGE, OFARCHITECTURALHERITAGE, CONSERVATION Colour Specification andmeasurement HISTORIC STRUCTURESANDMATERIALS UNESCO ICCROM WHC VOLUME ARC 5 /99 LABORATCOROY HLANODBOUOKR The ICCROM ARC Laboratory Handbook is intended to assist professionals working in the field of conserva- tion of architectural heritage and historic structures. It has been prepared mainly for architects and engineers, but may also be relevant for conservator-restorers or archaeologists. It aims to: - offer an overview of each problem area combined with laboratory practicals and case studies; - describe some of the most widely used practices and illustrate the various approaches to the analysis of materials and their deterioration; - facilitate interdisciplinary teamwork among scientists and other professionals involved in the conservation process. The Handbook has evolved from lecture and laboratory handouts that have been developed for the ICCROM training programmes. It has been devised within the framework of the current courses, principally the International Refresher Course on Conservation of Architectural Heritage and Historic Structures (ARC). The general layout of each volume is as follows: introductory information, explanations of scientific termi- nology, the most common problems met, types of analysis, laboratory tests, case studies and bibliography. The concept behind the Handbook is modular and it has been purposely structured as a series of independent volumes to allow: - authors to periodically update the -
Goethe's Theory of Colors Between the Ancient Philosophy, Middle Ages
CULTURE, MEDIA & FILM | RESEARCH ARTICLE Goethe’s theory of colors between the ancient philosophy, middle ages occultism and modern science Victor Barsan and Andrei Merticariu Cogent Arts & Humanities (2016), 3: 1145569 Page 1 of 29 Barsan & Merticariu, Cogent Arts & Humanities (2016), 3: 1145569 http://dx.doi.org/10.1080/23311983.2016.1145569 CULTURE, MEDIA & FILM | RESEARCH ARTICLE Goethe’s theory of colors between the ancient philosophy, middle ages occultism and modern science 1 2 Received: 18 February 2015 Victor Barsan * and Andrei Merticariu Accepted: 20 January 2016 Published: 18 February 2016 Abstract: Goethe’s rejection of Newton’s theory of colors is an interesting example *Corresponding author: Victor Barsan, of the vulnerability of the human mind—however brilliant it might be—to fanati- Department of Theoretical Physics, cism. After an analysis of Goethe’s persistent fascination with magic and occultism, Horia Hulubei Institute of Physics and Nuclear Engineering, Aleea Reactorului of his education, existential experiences, influences, and idiosyncrasies, the authors nr. 30, Magurele, Bucharest, Romania E-mail: [email protected] propose an original interpretation of his anti-Newtonian position. The relevance of Goethe’s Farbenlehre to physics and physiology, from the perspective of modern sci- Reviewing editor: Peter Stanley Fosl, Transylvania ence, is discussed in detail. University, USA Subjects: Aristotle; Biophysics; Experimental Physics; Fine Art; Medical Physics; Ophthal- Additional information is available at the end of the article mology; Philosophy of Art; Philosophy of Science; Presocratics Keywords: ancient philosophy; Greek–Roman classicism; middle ages science; Newtonian science; occultism; pantheism; optics; theory of colors; primordial phenomenon (urphaeno men) 1. Introduction Light is one of the most interesting components of the physical universe. -
Fuzzy Set Theoretical Approach to the Tone Triangular System
JOURNAL OF COMPUTERS, VOL. 6, NO. 11, NOVEMBER 2011 2345 Fuzzy Set Theoretical Approach to the Tone Triangular System Naotoshi Sugano Tamagawa University, Tokyo, Japan [email protected] Abstract—The present study considers a fuzzy color system gravity of the attribute information of vague colors. This in which three input fuzzy sets are constructed on the tone fuzzy set theoretical approach is useful for vague color triangle. This system can process a fuzzy input to a tone information processing, color identification, and similar triangular system and output to a color on the RGB applications. triangular system. Three input fuzzy sets (not black, white, and light) are applied to the tone triangle relationship. By treating three attributes of chromaticness, whiteness, and II. METHODS blackness on the tone triangle, a target color can be easily A. Color Triangle and Additive Color Mixture obtained as the center of gravity of the output fuzzy set. In Additive color mixing occurs when two or three beams the present paper, the differences between fuzzy inputs and inference outputs are described, and the relationship of differently colored light combine. It has been found between inference outputs for crisp inputs and for fuzzy that mixing just three additive primary colors, red, green, inputs on the RGB triangular system are shown by the and blue, can produce the majority of colors. In general, a input-output characteristics between chromaticness, color vector can be described by certain quantities as a whiteness, and blackness as the inputs and redness (as one scalar and a direction. These quantities are referred to as of the outputs).