A human observer is able to recognize the color of objects irrespective of the light used to illuminate them. This is called color constancy. A digital camera uses a sensor to measure the reflected light, meaning that the measured color at each pixel varies according to the color of the illuminant. Therefore, the resulting colors may not be the same as the colors that were perceived by the observer. Obtaining color constant descriptors from image pixels is not only important for digital photography, but also valuable for computer vision, color-based automatic object recognition, and color image processing in general. This book provides a comprehensive introduction to the field of color constancy, describing all the major color constancy algorithms, as well as presenting cutting edge research in the area of color image processing. Beginning with an in-depth look at the human visual system, Ebner goes on to: examine the theory of color image formation, color reproduction and different color spaces; discuss algorithms for color constancy under both uniform and non-uniform illuminants; describe methods for shadow removal and shadow attenuation in digital images; evaluate the various algorithms for object recognition and color constancy and compare this to data obtained from experimental psychology; set out the different algorithms as pseudo code in an appendix at the end of the book. Color Constancy is an ideal reference for practising engineers, computer scientists and researchers working in the area of digital color image processing. It may also be useful for biologists or scientists in general who are interested in computational theories of the visual brain and bio-inspired engineering systems.

The world is not always truly reflected in what we see. The brain creates images, fills in gaps and even at times constructs fictions. This book brings together experts from several diverse fields to present state of the art accounts of how the visual world enters two small holes in our heads and is reconstructed to give us the rich impressions of color, movement, and shape.

This fully revised and expanded 2nd edition provides a single authoritative resource describing the concepts of color and the application of color science across research and industry. Significant changes for the 2nd edition include: New and expanded sections on color engineering More entries on fundamental concepts of color science and color terms Many additional entries on specific materials Further material on optical concepts and human visual perception Additional articles on organisations, tools and systems relevant to color A new set of entries on 3D presentation of color In addition, many of the existing entries have been revised and updated to ensure that the content of the encyclopedia is current and represents the state of the art. The work covers the full gamut of color: the fundamentals of color science; the physics and chemistry; color as it relates to optical phenomena and the human visual system; and colorants and materials. The measurement of color is described through entries on colorimetry, color spaces, color difference metrics, color appearance models, color order systems and cognitive color. The encyclopedia also has extensive coverage of applications throughout industry, including color imaging, color capture, display and printing, and descriptions of color encodings, color management, processing color and applications relating to color synthesis for computer graphics are included. The broad scope of the work is illustrated through entries on color in art conservation, color and architecture, color and education, color and culture, and biographies of some of the key figures involved in color research throughout history. With over 250 entries from color science researchers across academia and industry, this expanded 2nd edition of the Encyclopedia of Color Science and Technology remains the most important single resource in color science.

Millions of people have learned to draw using the methods of Dr. Betty Edwards's bestseller The New Drawing on the Right Side of the Brain. Now, much as artists progress from drawing to painting, Edwards moves from black-and-white into color. This much-awaited new guide distills the enormous existing knowledge about color theory into a practical method of working with color to produce harmonious combinations. Using techniques tested and honed in her five-day intensive color workshops, Edwards provides a basic understanding of how to see color, how to use it, and-for those involved in art, painting, or design-how to mix and combine hues. Including more than 125 color images and exercises that move from simple to challenging, this volume explains how to: see what is really there rather than what you "know" in your mind about colored objects perceive how light affects color, and how colors affect one another manipulate hue, value, and intensity of color and transform colors into their opposites balance color in still-life, landscape, figure, and portrait painting understand the psychology of color harmonize color in your surroundings While we recognize and treasure the beautiful use of color, reproducing what we see can be a challenge. Accessibly unweaving color's complexity, this must-have primer is destined to be an instant classic.

The one-stop reference to the essentials of color science andtechnology—now fully updated and revised The fully updated Third Edition of Color: An Introduction toPractice and Principles continues to provide a trulycomprehensive, non-mathematical introduction to color science,complete with historical, philosophical, and art-relatedtopics. Geared to non-specialists and experts alike, Colorclearly explains key technical concepts concerning light, humanvision, and color perception phenomena. It covers color ordersystems in depth, examines color reproduction technologies, andreviews the history of color science as well as its relationship toart and color harmony. Revised throughout to reflect the latestdevelopments in the field, the Third Edition: Features many new color illustrations, now fully incorporatedinto the text Offers new perspectives on what color is all about, divergingfrom conventional thinking Includes new information on perception phenomena, color order,and technological advances Updates material on such topics as the CIE colorimetric systemand optimal object colors Extends coverage of color reproduction to display systems,photography, and color management Contains a unique timetable of color in science and art, plus aglossary of important terms Praise for the previous editions: "A nice bridge to areas usually not covered in academic visualscience programs . . . outstanding." —Joel Pokorny, visual scientist at The University ofChicago "A good addition to any library, this should be useful for thecolor interests of artists, designers, craftsmen, philosophers,psychologists, color technologies, and students in relatedfields." —CHOICE

While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

In this book the authors identify the basic concepts and recent advances in the acquisition, perception, coding and rendering of color. The fundamental aspects related to the science of colorimetry in relation to physiology (the human visual system) are addressed, as are constancy and color appearance. It also addresses the more technical aspects related to sensors and the color management screen. Particular attention is paid to the notion of color rendering in computer graphics. Beyond color, the authors also look at coding, compression, protection and quality of color images and videos. Individual chapters focus on the LMS specification, color constancy, color appearance models, rendering in synthetic image generation, image sensor technologies, image compression, and quality and secure color imaging. Ideal for researchers, engineers, Master’s and PhD students, Digital Color: Acquisition, Perception, Encoding and Rendering offers a state of the art on all the scientific and technical issues raised by the different stages of the digital color process – acquisition, analysis and processing. Contents 1. Colorimetry and Physiology – The LMS Specification, Françoise Viénot and Jean Le Rohellec. 2. Color Constancy, Jean-Christophe Burie, Majed Chambah and Sylvie Treuillet. 3. Color Appearance Models, Christine Fernandez-Maloigne and Alain Trémeau. 4. Rendering and Computer Graphics, Bernard Péroche, Samuel Delepoulle and Christophe Renaud. 5. Image Sensor Technology, François Berry and Omar Ait Aider. 6. From the Sensor to Color Images, Olivier Losson and Eric Dinet. 7. Color and Image Compression, Abdelhakim Saadane, Mohamed-Chaker Larabi and Christophe Charrier. 8. Protection of Color Images, William Puech, Alain Trémeau and Philippe Carré. 9. Quality Assessment Approaches, Mohamed-Chaker Larabi, Abdelhakim Saadane and Christophe Charrier.