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The Image Processing Handbook, Fifth Edition, by John C. Russ
PDF Download The Image Processing Handbook, Fifth Edition, by John C. Russ
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Now in its fifth edition, John C. Russ’s monumental image processing reference is an even more complete, modern, and hands-on tool than ever before. The Image Processing Handbook, Fifth Edition is fully updated and expanded to reflect the latest developments in the field. Written by an expert with unequalled experience and authority, it offers clear guidance on how to create, select, and use the most appropriate algorithms for a specific application.
What’s new in the Fifth Edition?
· A new chapter on the human visual process that explains which visual cues elicit a response from the viewer
· Description of the latest hardware and software for image acquisition and printing, reflecting the proliferation of the digital camera
· New material on multichannel images, including a major section on principal components analysis
· Expanded sections on deconvolution, extended dynamic range images, and image enlargement and interpolation
· More than 600 new and revised figures and illustrations for a total of more than 2000 illustrations
· 20% more references to the most up-to-date literature
Written in a relaxed and reader-friendly style, The Image Processing Handbook, Fifth Edition guides you through the myriad tools available for image processing and helps you understand how to select and apply each one.
- Sales Rank: #3042406 in Books
- Published on: 2006-12-19
- Original language: English
- Number of items: 1
- Dimensions: 1.54" h x 7.26" w x 10.04" l, 4.08 pounds
- Binding: Hardcover
- 832 pages
Review
Dr. John C. Russ is the recipient of the 2006 Ernst Abbe Memorial Award of the New York Microscopical Society, for achievements made in the field of microscopy.
For more information, visit http://nyms.org
About the Author
Ken Hillis is Associate Professor of Communication Studies at the University of North Carolina at Chapel Hill. He is author of Digital Sensations: Space, Identity and Embodiment in Virtual Reality.Michael Petit is Mellon Lecturing Fellow at the University Writing Program in the Center for Teaching, Learning and Writing at Duke University. He is author of Peacekeepers at War: A Marine's Account of the Beirut Catastrophe.Nathan Epley is a Ph.D. candidate in the Department of Communication Studies, at the University of North Carolina at Chapel Hill. He is a contributing editor for NMEDIAC: The Journal of New Media and Culture.
Most helpful customer reviews
9 of 9 people found the following review helpful.
New 5th edition continues its tradition as a valuable tool
By calvinnme
John Russ' book on image processing was never intended to be a textbook on how to understand and write your own image processing algorithms, as you might believe by looking through the table of contents. It does cover just about everything you would see in such a textbook, but from a user's standpoint of these operations, not as an author of image processing code who needs to understand the algorithms behind these operations. Instead, Russ explains all of the operations, their value in various applications, and provides many illustrations showing before and after pictures of what each operation does. There are no algorithms, pseudocode, or mathematics in this book.
The jewel in the crown of this book is the companion CD. It contains over 200 Photoshop plug-ins for performing the operations mentioned in this book. These plug-ins work on 8-bit grayscale and 24 bit RGB images and are divided into the categories of image adjustment, color manipulation, image math, boolean operations, Fourier processing, morphological operations, neighborhood processing, distance-map operations, thresholding, feature measurement, calibration, stereology, and surface rendering. The bad news is that you have to obtain the CD separately. If you need to understand the detailed mathematics behind such operations, you might consult Digital Image Processing by Gonzalez and Woods, and then come back to this book for the tools to accomplish the operations explained in that book. The updates to this fifth edition include an additional chapter on human vision and how it ties into image processing. Also, the author has updated his sections on image acquisition hardware and software to describe the latest tools available. Finally, the topic of tomographic imaging has been expanded and given its own chapter and the chapter on 3-D image acquisition has been deleted.
This is an excellent book on image processing from a systems engineering and user standpoint. You will be disappointed if you expect to learn the algorithms behind the techniques demonstrated in this book.
8 of 10 people found the following review helpful.
Lacks technical depth
By David Berthelot
I bought this book thinking I would find useful equations illustrated with examples. That was a mistake. The book is more an introduction to concepts in image processing than a handbook.
I would recommend it to users or beginners in image processing who want to familiarize themselves with image processing concepts. The content is light and accessible.
However I would definitely not recommend this book for experts, researchers or engineers.
5 of 6 people found the following review helpful.
great book focusing on concepts rather than math
By Andrey G. revyakin
I am a biologist with a little background in math. Using this book and matlab I could quickly implement basic feature recognition tools to analyze microscope images. The book focuses on concepts and explains them in intuitive language rather than in mathematical terms. Overall, it worked perfectly for me, but could be over-simplying for people with technical background.
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