Introduction to Color Models
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Color Theory for Painting Video: Color Perception
Color Theory For Painting Video: Color Perception • http://www.ted.com/talks/lang/eng/beau_lotto_optical_illusions_show_how_we_see.html • Experiment • http://www.youtube.com/watch?v=y8U0YPHxiFQ Intro to color theory • http://www.youtube.com/watch?v=059-0wrJpAU&feature=relmfu Color Theory Principles • The Color Wheel • Color context • Color Schemes • Color Applications and Effects The Color Wheel The Color Wheel • A circular diagram displaying the spectrum of visible colors. The Color Wheel: Primary Colors • Primary Colors: Red, yellow and blue • In traditional color theory, primary colors can not be mixed or formed by any combination of other colors. • All other colors are derived from these 3 hues. The Color Wheel: Secondary Colors • Secondary Colors: Green, orange and purple • These are the colors formed by mixing the primary colors. The Color Wheel: Tertiary Colors • Tertiary Colors: Yellow- orange, red-orange, red-purple, blue-purple, blue-green & yellow-green • • These are the colors formed by mixing a primary and a secondary color. • Often have a two-word name, such as blue-green, red-violet, and yellow-orange. Color Context • How color behaves in relation to other colors and shapes is a complex area of color theory. Compare the contrast effects of different color backgrounds for the same red square. Color Context • Does your impression od the center square change based on the surround? Color Context Additive colors • Additive: Mixing colored Light Subtractive Colors • Subtractive Colors: Mixing colored pigments Color Schemes Color Schemes • Formulas for creating visual unity [often called color harmony] using colors on the color wheel Basic Schemes • Analogous • Complementary • Triadic • Split complement Analogous Color formula used to create color harmony through the selection of three related colors which are next to one another on the color wheel. -
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. -
Chapter 6 : Color Image Processing
Chapter 6 : Color Image Processing CCU, Taiwan Wen-Nung Lie Color Fundamentals Spectrum that covers visible colors : 400 ~ 700 nm Three basic quantities Radiance : energy that flows from the light source (measured in Watts) Luminance : a measure of energy an observer perceives from a light source (in lumens) Brightness : a subjective descriptor difficult to measure CCU, Taiwan Wen-Nung Lie 6-1 About human eyes Primary colors for standardization blue : 435.8 nm, green : 546.1 nm, red : 700 nm Not all visible colors can be produced by mixing these three primaries in various intensity proportions Cones in human eyes are divided into three sensing categories 65% are sensitive to red light, 33% sensitive to green light, 2% sensitive to blue (but most sensitive) The R, G, and B colors perceived by CCU, Taiwan human eyes cover a range of spectrum Wen-Nung Lie 6-2 Primary and secondary colors of light and pigments Secondary colors of light magenta (R+B), cyan (G+B), yellow (R+G) R+G+B=white Primary colors of pigments magenta, cyan, and yellow M+C+Y=black CCU, Taiwan Wen-Nung Lie 6-3 Chromaticity Hue + saturation = chromaticity hue : an attribute associated with the dominant wavelength or dominant colors perceived by an observer saturation : relative purity or the amount of white light mixed with a hue (the degree of saturation is inversely proportional to the amount of added white light) Color = brightness + chromaticity Tristimulus values (the amount of R, G, and B needed to form any particular color : X, Y, Z trichromatic -
In Concert with Teaching Strategies That Have a Solid Theoretical Basis
1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in “Teaching and Learning Technology”. In Section 1 of this course you will cover these topics: Learning And Instruction Computer Applications In Education The Impact Of The Computer On Education Topic : Learning And Instruction Topic Objective: At the end of this topic student would be able to understand: Computer's Role In Instruction Instructional Technology Early Applications The Internet Era Outcomes Research Social Context Gagne's Nine Events of Instruction Definition/Overview: The first topic establishes a framework for looking at the computer's role in instruction and examines its role in student learning. A brief review of behaviorist and constructivist theories of instruction and learning is presented. The intent is to demonstrate that the computer can be a practical tool usedWWW.BSSVE.IN in concert with teaching strategies that have a solid theoretical basis. We recognize that thinking patterns and learning styles vary and that many different cognitive processes and intelligences should be valued. This topic presents a brief overview of types of intelligences, perception and motivation in order to emphasize the importance of analyzing student populations and matching instructional materials to student needs. Recognizing the important role that software plays in instruction and learning, a good deal of discussion takes place on the selection and evaluation of effective software. www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in 2 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in Key Points: 1.Computer's Role in Instruction American education has long incorporated technology in K-12 classrooms tape recorders, televisions, calculators, computers, and many others. -
Know the Color Wheel Primary Color
Introduction to Color/Hue Theory With Marlene Oaks Color affects us psychologically in nature, clothing, quilts, art and in decorating. The color choices we make create varying responses. Being able to use colors consciously and harmoniously can help us create spectacular results. Know the Color Wheel Primary color Primary color Primary color The color wheel is the basic tool for combining colors. The first circular color diagram was designed by Sir Isaac Newton in 1666. Primary, Secondary and Tertiary Colors Color theory in regards to light says that all colors are within white light—think prism, and black is devoid of color. In pigment theory, white is the absence of color & black contains all colors. We will be discussing pigment theory here. The primary colors are red, yellow and blue and most other colors can be made by various combinations of them along with the neutrals. The three secondary colors (green, orange and purple) are created by mixing two primary colors. Another six tertiary colors are created by mixing primary and secondary colors adjacent to each other. The above illustration shows the color circle with the primary, secondary and tertiary colors. 1 Warm and cool colors The color circle can be divided into warm and cool colors. Warm colors are energizing and appear to come forward. Cool colors give an impression of calm, and appear to recede. White, black and gray are considered to be neutral. Tints - adding white to a pure hue: Terms about Shades - adding black to a pure hue: hue also known as color Tones - adding gray to a pure hue: Test for color blindness NOTE: Color theory is vast. -
Dynamically Tunable Plasmonic Structural Color
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2018 Dynamically Tunable Plasmonic Structural Color Daniel Franklin University of Central Florida Part of the Physics Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Franklin, Daniel, "Dynamically Tunable Plasmonic Structural Color" (2018). Electronic Theses and Dissertations, 2004-2019. 5880. https://stars.library.ucf.edu/etd/5880 DYNAMICALLY TUNABLE PLASMONIC STRUCTURAL COLOR by DANIEL FRANKLIN B.S. Missouri University of Science and Technology, 2011 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Physics in the College of Sciences at the University of Central Florida Orlando, Florida Spring Term 2018 Major Professor: Debashis Chanda © 2018 Daniel Franklin ii ABSTRACT Functional surfaces which can control light across the electromagnetic spectrum are highly desirable. With the aid of advanced modeling and fabrication techniques, researchers have demonstrated surfaces with near arbitrary tailoring of reflected/transmitted amplitude, phase and polarization - the applications for which are diverse as light itself. These systems often comprise of structured metals and dielectrics that, when combined, manifest resonances dependent on structural dimensions. This attribute provides a convenient and direct path to arbitrarily engineer the surface’s optical characteristics across many electromagnetic regimes. -
Pale Intrusions Into Blue: the Development of a Color Hannah Rose Mendoza
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2004 Pale Intrusions into Blue: The Development of a Color Hannah Rose Mendoza Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY SCHOOL OF VISUAL ARTS AND DANCE PALE INTRUSIONS INTO BLUE: THE DEVELOPMENT OF A COLOR By HANNAH ROSE MENDOZA A Thesis submitted to the Department of Interior Design in partial fulfillment of the requirements for the degree of Master of Fine Arts Degree Awarded: Fall Semester, 2004 The members of the Committee approve the thesis of Hannah Rose Mendoza defended on October 21, 2004. _________________________ Lisa Waxman Professor Directing Thesis _________________________ Peter Munton Committee Member _________________________ Ricardo Navarro Committee Member Approved: ______________________________________ Eric Wiedegreen, Chair, Department of Interior Design ______________________________________ Sally Mcrorie, Dean, School of Visual Arts & Dance The Office of Graduate Studies has verified and approved the above named committee members. ii To Pepe, te amo y gracias. iii ACKNOWLEDGMENTS I want to express my gratitude to Lisa Waxman for her unflagging enthusiasm and sharp attention to detail. I also wish to thank the other members of my committee, Peter Munton and Rick Navarro for taking the time to read my thesis and offer a very helpful critique. I want to acknowledge the support received from my Mom and Dad, whose faith in me helped me get through this. Finally, I want to thank my son Jack, who despite being born as my thesis was nearing completion, saw fit to spit up on the manuscript only once. -
Expanded Gamut Shoot-Out: Real Systems, Real Results
Expanded Gamut Shoot-Out: Real Systems, Real Results Abhay Sharma Click toRyerson edit Master University, subtitle Toronto style Advisors Roger Breton, Marc Levine, John Seymour, Bill Pope Comprehensive Report – 450+ downloads tinyurl.com/ExpandedGamut Agenda – Expanded Gamut § Why do we need Expanded Gamut? § What is Expanded Gamut? (CMYK-OGV) § Use cases – Spot Colors vs Images PANTONE 109 C § Printing Spot Colors with Kodak Spotless (KSS) § Increased Accuracy § Using only 3 inks § Print all spot colors, without spot color inks § How do I implement EG? § Issues with Adobe and Pantone § Flexo testing in 2020 Vendors and Participants Software Solutions 1. Alwan – Toolbox, ColorHub 2. CGS ORIS – X GAMUT 3. ColorLogic – ColorAnt, CoPrA, ZePrA 4. GMG Color – OpenColor, ColorServer 5. Heidelberg – Prinect ColorToolbox 6. Kodak – Kodak Spotless Software, Prinergy PDF Editor § Hybrid Software - PACKZ (pronounced “packs”) RIP/DFE § efi Fiery XF (Command WorkStation) – Epson P9000 § SmartStream Production Pro – HP Indigo 7900 Color Management Solutions § X-Rite i1Profiler Expanded Gamut Tools § PANTONE Color Manager, Adobe Acrobat Pro, Adobe Photoshop Why do we need Expanded Gamut? - because imaging systems are imperfect Printing inks and dyes CMYK color gamut is small Color negative film What are the Use Cases for Expanded Gamut? ✓ 1. Spot Colors 2. Images PANTONE 301 C PANTONE 109 C Expanded gamut is most urgently needed in spot color reproduction for labels and package printing. Orange, Green, Violet - expands the colorspace Y G O C+Y M+Y -
Several Color Appearance Phenomena in Color Reproduction
2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012) Several Color Appearance Phenomena in Color Reproduction Qin-ling Dai1,a, Xiao-zhou Li2*,b, Ai Xu2 1 School of Materials Engineering (Southwest Forestry University), Kunming, China 650224 2 Key Laboratory of Pulp & Paper Science and Technology (Shandong Polytechnic University), Ministry of Education, Ji’nan, China, 250353 [email protected], bcorresponding author: [email protected] Keywords: color reproduction, color appearance, color appearance phenomena Abstract. Color perceived performance was influenced by various color appearance phenomena caused by varying viewing conditions in color reproduction process. It is necessary to do some research on the color appearance phenomena to represent the color appearance models qualitatively and quantitatively and accurate color reproduction easily. Only the phenomena were studied thoroughly, could the color transmission and reproduction be well performed. The color appearance and common color appearance phenomena of color reproduction were analyzed in this paper. And the basic theory of color appearance in color reproduction was also studied. Introduction High fidelity digital printing plays an important role in high fidelity color transmission and reproduction and it is one of the most important techniques to perform high fidelity color reproduction. High fidelity digital printing helps to perform accurate color reproduction of the original which can’t be performed because of paper and ink in traditional printing process [1]. In color printing, the color difference caused by paper, ink and viewing conditions is various. The difference is not only colorimetric difference but also different color appearance phenomena. While the different color appearance phenomenon is the leading factor to influence the color vision perceived. -
A Method of Content-Based Image Retrieval for the Generation of Image Mosaics
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2007 A Method Of Content-based Image Retrieval For The Generation Of Image Mosaics Michael Snead University of Central Florida Part of the Computer Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Snead, Michael, "A Method Of Content-based Image Retrieval For The Generation Of Image Mosaics" (2007). Electronic Theses and Dissertations, 2004-2019. 3358. https://stars.library.ucf.edu/etd/3358 A METHOD OF CONTENT-BASED IMAGE RETRIEVAL FOR THE GENERATION OF IMAGE MOSAICS by MICHAEL CHRISTOPHER SNEAD B.S. University of Central Florida, 2005 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the School of Electrical Engineering and Computer Science in the College of Engineering & Computer Science at the University of Central Florida Orlando, Florida Spring Term 2007 © 2007 Michael Christopher Snead ii ABSTRACT An image mosaic is an artistic work that uses a number of smaller images creatively combined together to form another larger image. Each building block image, or tessera, has its own distinctive and meaningful content, but when viewed from a distance the tesserae come together to form an aesthetically pleasing montage. This work presents the design and implementation of MosaiX, a computer software system that generates these image mosaics automatically. -
First Semester
NATIONAL UNIVERSITY F o u r t h Y e a r S y l l a b u s D e p a r t m e n t of Computer Science and Engineering Four Year B.Sc. Honours Course Effective from the Session: 2017–2018 National University Subject: Computer Science and Engineering Syllabus for Four Year B.Sc. Honours Course Effective from the Session: 2017-2018 Year wise courses and marks distribution FOURTH YEAR Semester VII Course Code Course Title Credit Hours 540201 Artificial Intelligence 3.0 540202 Artificial Intelligence Lab 1.5 540203 Compiler Design and Construction 3.0 540204 Compiler Design Lab 1.5 540205 Computer Graphics 3.0 540206 Computer Graphics Lab 1.5 540207 E-Commerce and Web Engineering 3.0 540208 E-Commerce and Web Engineering Lab 1.5 Total Credits in 7th Semester 18.0 Semester VIII Course Code Course Title Credit Hours Major Theory Courses 540209 Network and Information Security 3.0 540210 Network and Information Security Lab 1.5 540211 Information System Management 3.0 Project/Industry Attachment 540240 Project/Industry Attachment 6.0 Optional Course (any one) 3.0 540212 Simulation and Modeling 540214 Parallel and Distributed Systems 540216 Digital Signal Processing 540218 Digital Image Processing 540220 Multimedia 540222 Pattern Recognition 540224 Design and Analysis of VLSI Systems 540226 Micro-controller and Embedded System 540228 Cyber Law and Computer Forensic 540230 Natural Language Processing 540232 System Analysis and Design 540234 Optical Fiber Communication 540236 Human Computer Interaction 540238 Graph Theory Page 2 of 18 Optional Course -
Explicit Image Detection Using Ycbcr Space Color Model As Skin Detection
Applications of Mathematics and Computer Engineering Explicit Image Detection using YCbCr Space Color Model as Skin Detection JORGE ALBERTO MARCIAL BASILIO1, GUALBERTO AGUILAR TORRES2, GABRIEL SÁNCHEZ PÉREZ3, L. KARINA TOSCANO MEDINA4, HÉCTOR M. PÉREZ MEANA5 Sección de Estudios de Posgrados e Investigación 1Escuela Superior de Ingeniería Mecánica y Eléctrica Unidad Culhuacan Santa Ana #1000 Col. San Francisco Culhuacan, Del. Coyoacán C.P. 04430 MEXICO CITY [email protected], [email protected], [email protected], [email protected], [email protected] Abstract: - In this paper a novel way to detect explicit content images is proposed using the YCbCr space color, moreover the color pixels percentage that are within the image is calculated which are susceptible to be a tone skin. The main goal to use this method is to apply to forensic analysis or pornographic images detection on storage devices such as hard disk, USB memories, etc. The results obtained using the proposed method are compared with Paraben’s Porn Detection Stick software which is one of the most commercial devices used for detecting pornographic images. The proposed algorithm achieved identify up to 88.8% of the explicit content images, and 5% of false positives, the Paraben’s Porn Detection Stick software achieved 89.7% of effectiveness for the same set of images but with a 6.8% of false positives. In both cases were used a set of 1000 images, 550 natural images, and 450 with highly explicit content. Finally the proposed algorithm effectiveness shows that the methodology applied to explicit image detection was successfully proved vs Paraben’s Porn Detection Stick software.