Digital Color Imaging Handbook

Digital technology now enables unparalleled functionality and flexibility in the capture, processing, exchange, and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics-topics drawn from a broad range of disciplines. One can acquire the requisite background with an armload of physics, chemistry, engineering, computer science, and mathematics books and journals- or one can find it here, in the Digital Color Imaging Handbook. Unprecedented in scope, this handbook presents, in a single concise and authoritative publication, the elements of these diverse areas relevant to digital color imaging. The first three chapters cover the basics of color vision, perception, and physics that underpin digital color imaging. The remainder of the text presents the technology of color imaging with chapters on color management, device color characterization, digital halftoning, image compression, color quantization, gamut mapping, computationally efficient transform algorithms, and color image processing for digital cameras. Each chapter is written by world-class experts and largely self-contained, but cross references between chapters reflect the topics' important interrelations. Supplemental materials are available for download from the CRC Web site, including electronic versions of some of the images presented in the book.

Digital technology now enables unparalleled functionality and flexibility in the capture, processing, exchange, and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics-topics drawn from a broad range of disciplines. One can acquire the requisite background with an armload of physics, chemistry, engineering, computer science, and mathematics books and journals- or one can find it here, in the Digital Color Imaging Handbook. Unprecedented in scope, this handbook presents, in a single concise and authoritative publication, the elements of these diverse areas relevant to digital color imaging. The first three chapters cover the basics of color vision, perception, and physics that underpin digital color imaging. The remainder of the text presents the technology of color imaging with chapters on color management, device color characterization, digital halftoning, image compression, color quantization, gamut mapping, computationally efficient transform algorithms, and color image processing for digital cameras. Each chapter is written by world-class experts and largely self-contained, but cross references between chapters reflect the topics' important interrelations. Supplemental materials are available for download from the CRC Web site, including electronic versions of some of the images presented in the book.

A comprehensive and practical analysis and overview of the imaging chain through acquisition, processing and display The Handbook of Digital Imaging provides a coherent overview of the imaging science amalgam, focusing on the capture, storage and display of images. The volumes are arranged thematically to provide a seamless analysis of the imaging chain from source (image acquisition) to destination (image print/display). The coverage is planned to have a very practical orientation to provide a comprehensive source of information for practicing engineers designing and developing modern digital imaging systems. The content will be drawn from all aspects of digital imaging including optics, sensors, quality, control, colour encoding and decoding, compression, projection and display. Contains approximately 50 highly illustrated articles printed in full colour throughout Over 50 Contributors from Europe, US and Asia from academia and industry The 3 volumes are organized thematically for enhanced usability: Volume 1: Image Capture and Storage; Volume 2: Image Display and Reproduction, Hardcopy Technology, Halftoning and Physical Evaluation, Models for Halftone Reproduction; Volume 3: Imaging System Applications, Media Imaging, Remote Imaging, Medical and Forensic Imaging 3 Volumes www.handbookofdigitalimaging.com

All successful imaging systems employ some form of color management for previewing, controlling and adjusting color throughout the image-production process. Today’s increasingly complex systems pose challenging problems: they must support numerous devices and media having disparate color properties, and they also must provide for the interchange of images among dissimilar systems. In this book, the authors address and solve these problems using innovative methods of representing color in the digital domain. The second edition of this popular book explains the capabilities and limitations of existing color management systems and provides comprehensive practical solutions for communicating color within and among imaging systems, from the simplest to the most complex. Beginning with the fundamentals of color and human color perception, the book progresses to in-depth analyses of the nature of color images, digital color encoding, color management systems and digital color interchange. Fully revised and updated, this second edition of Digital Color Management features new and expanded coverage including: electronic displays and electronic imaging systems; scene-based and appearance-based color encoding methods; color management for digital cinema; a Unified Paradigm—a comprehensive, integrated color-managed environment for the color-imaging industry; four new chapters, two new appendices, and more than 80 new figures. This book is an essential resource for engineers, programmers and imaging professionals designing and engineering color-imaging systems and for others simply looking to increase their understanding of the field. Scientists, researchers, advanced undergraduates and graduate students involved in imaging technology also will find this book of significant interest and usefulness. Reviews for the first edition: ‘The absence of unnecessary jargon, the impeccable writing style, the material depth leads only to one conclusion: If you buy one digital color book this year, buy this one.’ W. David Schwaderer, Digital Camera Magazine ‘It [Digital Color Management] fulfils the need among engineers and scientists for a comprehensive understanding of color management, imaging, media, viewing conditions, appearance and communication.’ Arthur S. Diamond, Imaging News

Annotation This users guide summarizes several color fields, with chapters on color vision, color appearance, RGB and brightness, color in nature, color reproduction, color image capture, additive systems, subtractive systems, management systems, computer graphics, color selection and design, and information displays. The tools, technologies, and strategies related to the creation and management of digital color are all covered. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).

1. The present state and the future of colour image processing; 2. Colour vison; 2.1 What is colous?; 2.2 The visual pathway; 2.3 Light absorption and trichromacy; 2.4 Colour appearance and opponet processes; 2.5 Other phenomena; 2.6 The uses of colour; 3. Colour science; 3.1 Introduction; 3.2 The CIE system; 3.3 Colour measurement instruments; 3.4 Uniform colour spaces and colour difference formulas; 3.5 Colour appearance modelling; 4. Colour spaces; 4.1 Basic RGB colour space; 4.2 XYZ colour spae; 4.3 Television colour spaces; 4.4 Opponent colour space; 4.5 Ohta I1I2I3 colour space; 4.6 IHS and related percentual colour spaces; 4.7 Perceptually unifor colour spaces; 4.8 Munsell colour system; 4.9 Kodak Photo YCC colour space; 4.10 Summary of colour space properties. 5. Colour video systems and signals; 5.1 Video communication; 5.2 Colour reproduction; 5.3 Encoded-colour systems; 6. Image sources; 6.1 Overview of sources for image processing; 6.2 Cameras; 7. Practical system considerations; 7.1 Image acquisition technique; 7.2 Image storage; 7.3 Colorimetric calibration of acquisition hardware; 8. Noise removal and contrast enhancement; 8.1 Noise removal; 8.2 Contrast enhancement; 9. Segmentation and edge detection; 9.1 Pixel-based segmentation; 9.2 Region-based segmentation; 9.3 Edge detection and boundary tracking; 9.4 Segmentation adn edge detection quality metrics; 10 Vector filtering; 10.1 the vector median filter; 10.2 Vector direcitonal filters; 10.3 Adaptive vector processing filters; 10.4 Application to colour images; 11. Morphological operations; 11.1 Mathematical morphology; Colour morphology; 11.3 Multiscale image analysis; 11.4 Image enhancement; 12. Frequenci domain methods; 12.1 Review of the 2D discrete Fourier transform; 12.2 Complex chromaticity; 12.3 The quaternion Fourier transform; 12.4 Disicussion; 13. Compression; 13.1 Image and video compression; 13.2 Component-wise still image compression; 13.3 Exploitation of mutual colour component dependencies; 13.4 Colour video comression; 14. Colour management for the textile industry; 14.1 Overviwe of colour flow in the textile industry; 14.2 Colour management systems; 14.3 CRT characterization; 14.4 WYSIWYG colour management; 14.5 Colour notation; 14.6 Colour quality control; 14.7 The colour talk system; 15. Colour management for the graphic arts; 15.1 Overview of the graphic arts environment; 15.2 Colour management systems overview; 15.3 Characterization and calibration of system components; 15.4 Gamut mapping; 15.5 Current colour management systems; 16 Medical imaging case study; 16.1 Wound metrics: the background and motiviation; 16.2 Principle of structured ligh; 16.3 Implementatin of the status of healing; 16.4 Assessment of the status of healing; 16.5 Automatic segmentation of the wound; 16.6 Visualization and storage of data; 17. Industrial colour inspection case studies; 17.1 Inspection of printed card; 17.2 Inspection of fast-moving beverage cans; References; Index.

This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization with the goal of designing tractable algorithms. Throughout the handbook, the authors introduce topics on the most key aspects of image acquisition and processing that are based on the formulation and solution of novel optimization problems. The first part includes a review of the mathematical methods and foundations required, and covers topics in image quality optimization and assessment. The second part of the book discusses concepts in image formation and capture from color imaging to radar and multispectral imaging. The third part focuses on sparsity constrained optimization in image processing and vision and includes inverse problems such as image restoration and de-noising, image classification and recognition and learning-based problems pertinent to image understanding. Throughout, convex optimization techniques are shown to be a critically important mathematical tool for imaging science problems and applied extensively. Convex Optimization Methods in Imaging Science is the first book of its kind and will appeal to undergraduate and graduate students, industrial researchers and engineers and those generally interested in computational aspects of modern, real-world imaging and image processing problems.