Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.
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A thorough overview of the major topics in digital image processing -- representation, processing techniques, and communication.
From the Back Cover
Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.
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Most Helpful Customer Reviews
21 of 23 people found the following review helpful:
3.0 out of 5 stars
A good reference book if you know what you are looking for!,
By A Customer
This review is from: Fundamentals of Digital Image Processing (Paperback)
This book probably has all the information you need to know about digital image processing. However, if you are new to the field, this book may be your worst nightmare: It is really difficult to read and understand. So, if you want to learn about digital image processing, buy an easy to read book -such as the one from Gonzales- and get this book as a reference book.
8 of 8 people found the following review helpful:
5.0 out of 5 stars
Oldy but goody,
By
This review is from: Fundamentals of Digital Image Processing (Paperback)
OK...let's address a few of the complaints about this book.
Disjoint: OK, maybe a bit. Image processing is really a group of techniques, not like basic mathematics where you learn to add first, then multiply. The progression is not necessarily linear. If you want to solve this problem with an image you learn this set of techniques, which are typically disjoint from other sets of techniques. However, its all there, everything. Equations: Digital image processing requires mathematics. If you don't like it, then go find something else. The concepts are mathematical in nature. I think software people will find this more readable because of all the summations (more common to programmers than engineers sometimes). Dated: I'm sure Dr Jain would like to update the book. Unfortunately he's dead. He died in 1988 (at the age of 42). The sure fact that this book was written before digital cameras were a big deal is really amazing to me. I was using this book in 2001-2003 for image processing, including class work, as well as some military research work. I found that I could read this book, look at the diagrams and the mathematics and program the algorithms in Matlab. That's what I wanted from this book, for both class and work. It delivered. Heck, I liked it well enough that I consulted it for 1-dimensional signal processing info as well as two (i.e. images).
6 of 6 people found the following review helpful:
1.0 out of 5 stars
Major printing problem.,
By
This review is from: Fundamentals of Digital Image Processing (Paperback)
Be cautious when buying this book. There is a printing problem that results in the loss of dots. That means periods, primes, decimals, the dot on a semicolon, etc. Not all are missing, but this is a mathematics book. This is utterly inexcusable and the publisher should never have distributed a book in this condition. Basic proof reading would have caught the error when converting from old technology to new.
My professor says the hardback doesn't have the same problem. (I'm in the market if you've got one.) I returned my copy to the bookstore for a refund.
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