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The Image Processing Handbook, Fifth Edition [Hardcover]

John C. Russ

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The Image Processing Handbook, Sixth Edition The Image Processing Handbook, Sixth Edition 4.0 out of 5 stars (1)
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Book Description

Dec 19 2006 0849372542 978-0849372544 5
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.

Product Details

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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.
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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.

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Most Helpful Customer Reviews on (beta) 4.6 out of 5 stars  8 reviews
9 of 9 people found the following review helpful
5.0 out of 5 stars New 5th edition continues its tradition as a valuable tool March 9 2007
By calvinnme - Published on
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 9 people found the following review helpful
2.0 out of 5 stars Lacks technical depth Jan. 27 2009
By David Berthelot - Published on
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
5.0 out of 5 stars great book focusing on concepts rather than math Aug. 16 2007
By Andrey G. revyakin - Published on
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.
2 of 2 people found the following review helpful
5.0 out of 5 stars Suitable as Text or Reference March 7 2007
By John Matlock - Published on
This, the fifth edition of this industry standard reference book on image processing has been significantly expanded. There are some 600 new and revised images. A major feature of the new edition is to describe the new advances that have come about in hardware for image capture and printing. This includes both new versions of traditional equipment and new emerging technologies. The text has been expanded in areas like deconvolution, extended-dynamic-range images and multichannel imaging including principal-components analysis.

In general this book does not cover the background mathematics that enables image processing. Those are left to specialty books on the subject. Instead this book is intended to be used in conjunction with hands-on equipment where the reader is encouraged to experiment with different methods to determine what is needed for the particular job.

While suitable for use as a text, this book is really a handbook for technical users. The book is more oriented to what the various tools availavle to help actually do.
1 of 1 people found the following review helpful
5.0 out of 5 stars Image Processing Handbook Jan. 26 2011
By Timothy Fohl - Published on
Format:Hardcover|Verified Purchase
Over the years I have done a lot of image processing in unusual areas, analyzing laser speckle is an example. This book has proven very useful in introducing image processing concepts to make my use of image processing software more well founded. I don't write code but the book covers such a broad range of techniques that it would be a good place to start for someone who is trying to create software but is not an image processing professional. It shows a variety of approaches to a given problem. I have an earlier edition but have discussed the present edition with my son to whom I gave a copy.

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