Digital Image Processing (Hardcover)

by Rafael C. Gonzalez (Author), Richard E. Woods (Author)

Editorial Reviews

Product Description
A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.

From the Back Cover

Digital Image Processing has been the leading textbook in its field for more than 20 years. As was the case with the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992 edition by Gonzalez and Woods, the present edition was prepared with students and instructors in mind. 771e material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including a totally revised introduction and discussion of image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, and image description. Coverage concludes with a discussion of the fundamentals of object recognition.

Although the book is completely self-contained, a Companion Website (see inside front cover) provides additional support in the form of review material, answers to selected problems, laboratory project suggestions. and a score of other features. A supplementary instructor's manual is available to instructors who have adopted the book for classroom use.

New Features

• New chapters on wavelets, image morphology, and color image processing.
• More than 500 new images and over 200 new line drawings and tables.
• A revision and update of all chapters, including topics such as segmentation by watersheds.
• Numerous new examples with processed images of higher resolution.
• A reorganization that allows the reader to get to the material on actual image processing much sooner than before.
• Updated image compression standards and a new section on compression using wavelets.
• A more intuitive development of traditional topics such as image transforms and image restoration.
• Updated bibliography.

--This text refers to an out of print or unavailable edition of this title.

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Product Details

• Hardcover: 730 pages
• Publisher: Addison-Wesley Pub (Sd); 3rd edition (March 1992)
• Language: English
• ISBN-10: 0201508036
• ISBN-13: 978-0201508031
• Product Dimensions: 9.2 x 7 x 1.1 inches
• Shipping Weight: 2.6 pounds
• Average Customer Review: 4.2 out of 5 stars See all reviews (24 customer reviews)
• Amazon.com Sales Rank: #838,708 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

29 of 31 people found the following review helpful:

5.0 out of 5 stars A good text book in image processing class, September 23, 1999

By	Edgar Manik ([e-mail]) (Jakarta, Indonesia) - See all my reviews

A good book, clear and easy to understand, and it is also easy to implement the algorithms mentioned in the book into a real world program. I used it as a text book in image processing class. Compared to other books in image processing, this book is a clear winner. The only drawback is the price. Other thing to remember is that this book is old enough in the ever-progressed image processing and computer graphic field.

28 of 30 people found the following review helpful:

5.0 out of 5 stars The best comprehensive image processing textbook, December 10, 2005

By	calvinnme "Texan refugee" (Fredericksburg, Va) - See all my reviews (TOP 10 REVIEWER)

This review is from: Digital Image Processing (2nd Edition) (Hardcover)

This book is the best textbook on image processing for senior/graduate students majoring in engineering or computer science. Although a knowledge of calculus and linear algebra is presumed, it is a very accessible textbook. Chapters one and two consist of very basic background information. The concepts of linearity, pixel distance measures, spatial versus gray scale resolution, and zooming and shrinking are explained. Chapter 3 is about image inhancement in the spatial domain, and includes discussions on contrast enhancement, histogram processing and equalization, and histogram matching. The idea of filtering images via an NxN kernel mask is also introduced. Chapter 4 is about filtering in the frequency domain. The 2D Fourier transform is introduced and it is explained how filtering can take place using this transform. Chapter five discusses image restoration. This includes Weiner filtering and minimum mean square error filtering. Chapter six discusses color image processing. This chapter discusses the various color spaces - RGB, CMYK, HSI, and how the transforms mentioned up to this point in the book can be performed in color. Chapter 7 is about wavelets and multiresolution processing. This chapter is a good solid presentation of wavelets and their usage in image processing. I would suggest that anyone interested in this subject start here before they read another book, since the presentation is clearer here than in books dedicated to the subject. Chapter 8 is about image compression. Basics of information theory are discussed, and lossy as well as lossless methods of compression are discussed. As a good follow-on to the previous chapter, the role of wavelets in compression is discussed. Chapter 9 discusses morphological image processing, which is that field of image processing that relies on the systematic "fattening" and "thinning" of edges to enhance images. Chapters 10,11, and 12 are a sort of introduction to computer vision topics. Chapter 10 discusses how to segment an image. Chapter 11 is about image descriptors that quantify segmented portions of an image. Chapter 12 is about object recognition and even has a short section on statistical classifiers. This book is a joy to read, and will make the topic of image processing very clear. There are plenty of diagrams, formulas, and equations listed. There are no examples to speak of, but algorithms are clearly specified so that I don't think that the book suffers because of the lack of examples. All engineering textbooks should be this well written. I particularly recommend this book as a reference for students and practitioners of robotics, video processing, and computer vision, since there are image processing considerations in all of these fields that this book will clarify.

19 of 20 people found the following review helpful:

5.0 out of 5 stars A non-commonly found textbook on Digital Image Processing, June 3, 2002

By	Edgardo Felipe (CIC-IPN, Mexico) - See all my reviews

This review is from: Digital Image Processing (2nd Edition) (Hardcover)

I've been a senior researcher in Image Processing for more than 20 years, and my opinion of the book Digital Image Processing of Gonzalez and Woods, is that it is significantly superior to current books on image processing. The contents of the books are in the mainstream of work in this field, and the level of coverage is complete and written at a level that makes it an ideal textbook for seniors and first-year graduate students. The experience of the authors shows through in the way the material is presented and illustrated. The complementary web site is an outstanding teaching aid.