E-Book, Englisch, 816 Seiten
Reihe: Electrical Engineering & Applied Signal Processing Series
E-Book, Englisch, 816 Seiten
Reihe: Electrical Engineering & Applied Signal Processing Series
ISBN: 978-1-4200-4148-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.
Zielgruppe
Color and imaging engineers and scientists, software engineers, electrical engineers, professionals, and researchers in the field of image processing, color science, and graphics; Senior undergraduate and graduate students in programs in electrical engineering, imaging science, color science, and image processing.
Autoren/Hrsg.
Weitere Infos & Material
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