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More About This Textbook
Overview
Provides a single comprehensive source of information on color image processing Covers future directions of digital processing Includes results of different recording and printing devices Presents algorithms to help readers process color images The exponential growth in the use of color receiving and display instruments has made this handbook a must for students, engineers, and scientists in image processing and a range of related disciplines. The Digital Color Imaging Handbook provides comprehensive coverage of the field, examining the fundamentals of color perception, color measurement, and color appearance. It describes current applications and the technology and impact on color rendition of color input and output devices. Additionally, it explores how to improve on the processing of color images, how to calibrate instruments, split pixels, and digitally process color images.
The exponential growth in the use of color receiving and display instruments makes this handbook a must for students, engineers, and scientists in image processing and a range of related disciplines. It provides comprehensive coverage of the field, examining the fundamentals of color perception, color measurement, and color appearance. It describes current applications and the technology and the impact of color input and output devices on color rendition. It also explores how to improve on the processing of color images, how to calibrate instruments, split pixels, and digitally process color images.
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Table of Contents
Color Fundamentals for Digital Imaging, Gaurav Sharma, Xerox Corporation
Visual Psychophysics and Color Appearance, Garrett M. Johnson and Mark D. Fairchild, Rochester Institute of Technology
Physical Models for Color Prediction, Patrick Emmel, Clariant International
Color Management for Digital Imaging Systems, Edward J. Giorgianni, Thomas E. Madden and Kevin E. Spaulding, Eastman Kodak Company
Device Characterization, Raja Bala, Xerox Corporation
Digital Color Halftones, Charles M Hains, Shen-ge Wang, and Keith T. Knox, Xerox Corporation
Human Visual Model Based Color Halftoning, A. Ufuk Agar, Hewlett Packard Company, Farhan A. Baqai, Sony Electronics, and Jan P. Allebach, Purdue University
Compression of Color Images, Ricardo de Queiroz, Xerox Corporation
Color Quantization, Luc Brun, Université Reims, Champagne Ardenne and Alain Trémeau, Université Jean Monnet de Saint-Etienne
Gamut Mapping, Ján Moroviç, University of Derby
Efficient Color Transformation Implementation, Raja Bala and R. Victor Klassen, Xerox Corporation
Color Image Processing for Digital Cameras, Ken Parulski and Kevin E. Spaulding, Eastman Kodak Company