This book focuses specifically on color management.Most books addressing color imaging discuss human vision and models of human vision more than the implications for color management. Often, questions of how to manage the communication of color through a complex imaging system are left as an exercise for the engineer. The unusual focus of this book makes it more welcome, as it complements other works in the area and provides valuable experience-based insight into a complex challenge.The book is organized into five main sections, the fifth of which is a set of appendices. The first section provides a brief introduction to color-imaging systems, including human color vision as an example system. The discussion is very concise and includes appropriate references to other books, rather than allocating hundreds of pages to the standard discussion of color vision and colorimetry.The second section contains five chapters on the nature of color images, discussing the main technologies involved in different color-management scenarios: electronic displays, electronic-imaging systems ͑capture through to display͒, reflection prints, projected images, and finally photographic negatives. Discussion in each chapter focuses on how the color of the reproduction compares with the colorimetry of the starting image. Multiple image capture and image-viewing scenarios are used to show that different scenarios require different relationships between the colorimetry of the input and the colorimetry of the reproduction.The third section includes seven chapters on digital color encoding and is the largest section in the book. Here the authors discuss various methods of color encoding, explaining why and when they work, as well as mentioning when they do not work. Early on, the authors introduce a distinction between a color-encoding method ͑the meaning of the encoded col-ors͒ and a color-encoding metric ͑such as CIELAB͒. This distinction clarifies the problems addressed by a color-encoding metric and problems not addressed by the color-encoding metric. The section closes with a chapter on myths and misconceptions associated with color management, clearly explaining the hope and the fallacy behind each myth.The fourth section presents a ninechapter discussion of a unified color management environment. This section presents the core of the authors' message: that a comprehensive color-management system must be able to communicate color appearance, not just colorimetry, through an imaging system. The authors show that by combining colorimetry and specification of viewing conditions under which the colorimetry applies, a comprehensive system can be developed that will reliably communicate color throughout a complex system, supporting a wide range of viewing conditions. By using colorimetry ͑which is well established͒ and a viewing environment specification, they leave room for color appearance models to evolve and improve without significantly altering the fundamental architecture of the system.The fifth section includes nine appendices that p...

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This paper discusses use of a single image sensor with a fourchannel color filter array (CFA) and flexible readout capabilities for a compact digital camera. It considers camera system technology and design tradeoffs, followed by a discussion of an example four-channel sensor. Advantages of the sensor include better sensitivity than a similar sensor with a threechannel CFA and more flexible exposure and readout control. The example sensor enables a new approach for multiframe image capture, termed multicomponent image capture.

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