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Color imaging: fundamentals and applications
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Review
Color Imaging is outstanding in the way it brings together information useful to researchers, graduate students, and professionals who work in digital photography, computer graphics, computer vision, image processing, and electronic games. The writing is clear, and the many color illustrations are excellent.
—S.L. Tanimoto, CHOICE, March 2009
... covers a range of color theory concerns for any involved in computer graphics, vision, image processing and photography. Thus this book is a pick not just for college-level computer collections, but for advanced photography libraries as well. Chapters cover the basics of color's physics and chemistry, offering plenty of theory perfect for understanding how images are captured, altered, and presented. An accompanying DVD holds most of the color photos in the book in high dynamic range format—including source code for several algorithms—and provides readers with an essential key for understanding at an advanced level.
—The Bookwatch, November 2008
About the Author
Erik Reinhard is a lecturer at the University of Bristol and Assistant Professor at the University of Central Florida. He is the coauthor of numerous books, including High Dynamic Range Imaging, Fundamentals of Computer Graphics, and Practical Parallel Rendering. Erum Arif Khan and Ahmet Oguz Akyuz are researchers at the University of Central Florida focusing on high dynamic range imaging with an emphasis on color. Garrett M. Johnson is a color scientist in the Professional Applications division at Apple, Inc., and an Affiliate Professor with the Munsell Color Science Laboratory in the Center for Imaging Science at the Rochester Institute of Technology (RIT). He holds a Ph.D. in Imaging Science and an M.S. in Color Science, both from RIT.
15/09/2011
As a practiving engineer and programmer, this book, for me, is an excellent, comprehensive review of the maths and formulae for this wide and evolving field.
28/06/2011
If you are serious about understanding color in digital imaging, you really must own this book.
It contains a very thorough presentation of color, covering everything from electromagnetism to color appearance models. The references to other works is very large, enabling a reader of the book to easily find more material if a deeper understanding of a particular subject is desired. There are two major benefits this book has compared to other books on the digital imaging subject, especially older ones. The first is that color has a central role and is not something that is discussed after image processing in grayscale has been treated. The second is that high dynamic range imaging is the default, the texts are written with the assumption that the 8-bit per component for calculation world we mostly live in needs to end, which it of course must.
This is one of those books where it is obvious that the authors really have a thorough understanding of what they are writing about.
10/11/2008
Erick Reinhard, et.al.'s COLOR IMAGING: FUNDAMENTALS AND APPLICATIONS covers a range of color theory concerns for any involved in computer graphics, vision, image processing and photography. Thus this book is a pick not just for college-level computer collections, but for advanced photography libraries as well. Chapters cover the basics of color's physics and chemistry, offering plenty of theory perfect for understanding how images are captured, altered, and presented. An accompanying DVD holds most of the color photos in the book in high dynamic range format including source code for several algorithms and provides readers with an essential key for understanding at an advanced level. A fine advanced computer and software engineering title, and a top pick for advanced college-level collections, offering excellent technical discussions and packing in details.
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 High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting Erik Reinhard, Greg Ward, Paul Debevec, Sumanta Pattanaik |
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