This much needed, comprehensive and modern reference on display technology, illumination sources and color imaging focuses on visual effects and how reproduced images are best matched to human visual features. As such, it teaches readers how to exploit the knowledge of human color information processing to design usable, ergonomic, and pleasing displays or visual environments. The contents describe design principles and methods to optimize self-luminous visual technologies for the human user, including modern still and motion image displays, and indoor light sources. Design principles and methods are derived from the knowledge of the human visual system, with a special emphasis on color vision, color cognition, color harmony, color preference and visually evoked emotions. The expert authors include the most important and latest applications of the design principles and methods, forming a comprehensive view of human color information processing from the receptors through the retina via high-level visual perception right up to the level of cognition, preference, harmony, as well as visually evoked emotions. This book is included in the Wiley SID Series.

In a very broad sense the historical development of computer graphics can be considered in three phases, each a giant step down the road towards "realistic" computer generated images. The first, during the late 1960's and early 1970's, can perhaps be characterized as the "wire frame" era. Basically pictures were composed of lines. Considerable em phasis was placed on "real time" interactive manipulation of the model. As models became more complex and as raster technology developed, eliminating the hidden lines or hidden surfaces from the image became critical for visual understanding. This requirement resulted in the second phase of computer graphics, the "hidden surface" era, that developed during the 1970's and early 1980's. The names associated with hidden surface algorithms read like a who's who of computer graphics. The cul mination of the hidden surface era and the beginning of the current and third era in computer graphics, the "rendering" era, was Turner Whitted's incorporation of a global illumination model into the ray trac ing algorithm. Now the goal was not just to generate an image, but to generate a realistic appearing image.

Unlike many other art books only give recipes for mixing colors or describe step-by-step painting techniques, *Color and Light* answers the questions that realist painters continually ask, such as: "What happens with sky colors at sunset?", "How do colors change with distance?", and "What makes a form look three-dimensional?" Author James Gurney draws on his experience as a plain-air painter and science illustrator to share a wealth of information about the realist painter's most fundamental tools: color and light. He bridges the gap between abstract theory and practical knowledge for traditional and digital artists of all levels of experience.

Colorimetry: Understanding the CIE System summarizes and explains the standards of CIE colorimetry in one comprehensive source. Presents the material in a tutorial form, for easy understanding by students and engineers dealing with colorimetry. Provides an overview of the area of CIE colorimetry, including colorimetric principles, the historical background of colorimetric measurements, uncertainty analysis, open problems of colorimetry and their possible solutions, etc. Includes several appendices, which provide a listing of CIE colorimetric tables as well as an annotated list of CIE publications. Commemorates the 75th anniversary of the CIE's System of Colorimetry.

Learning to work with light is an important milestone in every photographer’s career, and the ability to craft light to fit your vision for an image is a skill that cannot be overrated. Most often, that crafting of light is spoken of in terms of the quality and quantity of light. But there is an important, third component of light that heavily influences the final look of the image: the color of light. In Chroma: A Photographer’s Guide to Lighting with Color, photographer Nick Fancher helps you elevate your game when it comes to introducing the bold, creative, and intentional use of color into your work.

Whether you’re using a high-powered strobe or a small hotshoe flash, Chroma is for you. Nick begins with a discussion of color theory, gels, and white balance, then examines how to determine which colors complement your subject matter (whether that’s people or products). He moves on to cover topics such as:

• Balancing, mixing, and overpowering ambient light with artificial light
• Layering colors for unique color combinations
• Mixing hard and soft light to achieve extremely rich color
• Lighting detail and texture
• Modifier options, such as ring flash, snoots, barn doors, softboxes, and filters
• Gobos to control the light
• Post-processing for vibrant, powerful colors
• How (and why) to light with color, even when the end goal is a black and white image

Illustrated throughout with innovative and expressive imagery, Chroma also includes behind-the-scenes photos, lighting diagrams, and Lightroom settings so you can follow along from the initial concept through to the final edit.

p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Verdana} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Verdana; min-height: 13.0px}

An experimental approach to the study and teaching of color is comprised of exercises in seeing color action and feeling color relatedness before arriving at color theory.

This book constitutes the refereed proceedings of the 4th Computational Color Imaging Workshop, CCIW 2013, held in Chiba, Japan, in March 2013. The 21 revised full papers, presented together with 4 invited papers, were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on color image perception; color combination; multi-spectral image analysis and rendering; color image detection and classification; color image features; and color image filtering and enhancement.

Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing. The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging. To elucidate the significant progress in specialized areas, the editors invited renowned authorities to address specific research challenges and recent trends in their area of expertise. The book begins by focusing on color fundamentals, including color management, gamut mapping, and color constancy. The remaining chapters detail the latest techniques and approaches to contemporary and traditional color image processing and analysis for a broad spectrum of sophisticated applications, including: Vector and semantic processing Secure imaging Object recognition and feature detection Facial and retinal image analysis Digital camera image processing Spectral and superresolution imaging Image and video colorization Virtual restoration of artwork Video shot segmentation and surveillance Color Image Processing: Methods and Applications is a versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications. This book is part of the Digital Imaging and Computer Vision series.

An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.