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An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs [Hardcover]

Steven L. Tanimoto

List Price: CDN$ 58.44
Price: CDN$ 34.45 & FREE Shipping. Details
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Book Description

April 27 2012 0262017164 978-0262017169

This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects.

The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a "transparent" view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.


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Product Details

  • Hardcover: 544 pages
  • Publisher: The MIT Press (April 27 2012)
  • Language: English
  • ISBN-10: 0262017164
  • ISBN-13: 978-0262017169
  • Product Dimensions: 23.3 x 18.4 x 3.1 cm
  • Shipping Weight: 1 Kg
  • Amazon Bestsellers Rank: #528,432 in Books (See Top 100 in Books)

Product Description

Review

"Finally, there is an introductory level image processing book that is written in a truly multi-disciplinary way! By approaching the material in a horizontal rather than vertical fashion, Steven Tanimoto has created an accessible resource that should have broad impact and appeal. I hope others will follow his lead and approach their subject areas in a similar way."--Tony DeRose, Senior Scientist, Pixar Animation Studios



"Due to heavy prerequisite requirements, image processing is typically an option only for students who have already taken enough programming and math courses. This book presents an effective approach to address this issue by carefully balancing programming and math requirements, making image processing accessible to junior (or even sophomore) students, as well as to non-majors."--George Bebis, Director of Computer Vision Laboratory, University of Nevada



"This new book is suitable for audiences in interdisciplinary areas with applications of image processing. Steven Tanimoto uses an intuitive and efficient structure to describe image processing topics, and offers many illustrations using PixelMath, a unique image processing program."--Lijun Yin, Department of Computer Science, Binghamton University

About the Author

Steven L. Tanimoto is Professor of Computer Science and Engineering at the University of Washington.

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 Amazon.com (beta)
Amazon.com: 4.0 out of 5 stars  5 reviews
1 of 1 people found the following review helpful
4.0 out of 5 stars A good read! Nov. 18 2013
By Mohamad Ismail - Published on Amazon.com
Format:Hardcover|Verified Purchase
The only thing I didn't like is the use of PixelMath... I'd prefer if he used numpy for example. I had to test most stuff using numpy.

In general, it was a good read.
1 of 1 people found the following review helpful
5.0 out of 5 stars Awesome Textbook Sept. 30 2013
By Austin Rogers - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
An Awesome text book for an awesome class. 5 stars I highly recommend this book as the textbook for the class.
1 of 1 people found the following review helpful
5.0 out of 5 stars Comprehensive May 5 2013
By Teun - Published on Amazon.com
Format:Hardcover|Verified Purchase
A very comprehensive book on image processing, building from the ground up and therefore suitable for a broad range of people with different background knowledge.
1 of 1 people found the following review helpful
4.0 out of 5 stars Hardcover Edition Has Color April 21 2013
By Anonymous - Published on Amazon.com
Format:Hardcover
I've recently received a hardcopy of this book.

One of the other reviewers has given this book a very low rating due to the Kindle edition supposedly not having color images. I don't own the kindle version so I can't comment on this.

However, I can verify that the hardcover doesn't have any such problems and that the print quality is as good as you could ask for.

Readers should be aware that the book duplicates each of the color images; in the main text it shows each image in greyscale, but then in the color insert section it has a large collection of all the images for which color is relevant (printed in full color on glossy/thick paper).

It is possible that the other reviewer simply neglected to look at the color insert section and assumed the greyscale images they saw were the only ones in the text. However, I cannot know this. Thus I would still recommend avoiding the kindle version unless another reviewer can confirm whether or not the kindle has the color insert in it.

The book itself seems to be an interesting and fairly well written text on various image effects and concepts. The important thing to know about this book, compared to others, is that it covers a variety of strange/fun processing effects such as photomosaics, warping/distorting images in several ways, and so on. Many other image processing books cover primarily only the more dry subjects of strict physical light and color theory and analysis. Thus, this book is good for getting a bunch of ideas on interesting creative things one can do to an image.

If you're looking for a very precise treatment of the properties of light and color you're probably better off with a different book, but if you want to know how to do some of the weirder image effects then this is a good book to have.

So far I have only read a relatively small portion of the book, and grazed through the rest a bit. Normally I'd wait until I read the full text, but I felt inclined to offer this review now in order to counter-balance the previous (probably overly harsh) review. I might edit my review once I'm finished with the full text.

Thank you for reading, and I hope this helps you in your decision.
1 of 2 people found the following review helpful
2.0 out of 5 stars Kindle Version is missing pages Feb. 5 2013
By John Lin - Published on Amazon.com
Format:Kindle Edition
I just bought the kindle version of the book for convenience and found it was missing the formula and picture pages (2-pages). I am somewhat disappointed. I hope there are not more pages missing.

*Update:
The kindle version is black and white. This makes it difficult to understand the sections on color.
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