Digital Image Processing (3rd Edition) | 
 enlarge | Authors: Rafael C. Gonzalez, Richard E. Woods
Publisher: Prentice Hall
Category: Book
List Price: $150.00
Buy New: $88.00
You Save: $62.00 (41%)
New (32) Used (21) from $88.00
Rating:  23 reviews
Sales Rank: 165444
Media: Hardcover
Edition: 3
Pages: 976
Number Of Items: 1
Shipping Weight (lbs): 3.5
Dimensions (in): 9.5 x 7.3 x 1.5
ISBN: 013168728X
Dewey Decimal Number: 621
EAN: 9780131687288
Publication Date: August 31, 2007
Availability: Usually ships in 1-2 business days
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Product Description
THE leader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition. For technicians interested in the fundamentals and contemporary applications of digital imaging processing
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| Customer Reviews: Read 18 more reviews...
 A good text book in image processing class September 23, 1999
Edgar Manik (manike@centrin.net.id) (Jakarta, Indonesia)
27 out of 28 found this review helpful
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.
The best comprehensive image processing textbook December 10, 2005
calvinnme (Fredericksburg, Va)
23 out of 24 found this review helpful
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.
A non-commonly found textbook on Digital Image Processing June 3, 2002
Edgardo Felipe (CIC-IPN, Mexico)
18 out of 18 found this review helpful
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.
A very good textbook March 12, 2002
12 out of 12 found this review helpful
As a computer engineering senior with a strong interest in image processing and vision, I found this book very helpful. The exemples are varied and interesting, the maths are easy to understand and the design is very clear. Obviously, it supposes the reader has some mathematical background, but nothing impossible for an undergraduate student. It is also very complete: it goes from very basic image processing concepts (defining pixels, the RGB format) to more complex topics like pattern recognition and wavelet compression.
Serious Image Processing for Students and Practitioners July 11, 2002
William E. Blass (Knoxville, TN United States)
18 out of 20 found this review helpful
This volume covers the waterfront of image processing from a reasonable introductory level. Refreshingly, it is much more than a cookbook. The authors pay attention to the physical principles that imaging and image manipulation are based on. With many quality images and examples, there is much for the less mathematically inclined to cut their teeth on while brushing up on their advanced math skills. The inclusion of many well chosen problems makes the book a valuable volume in a student's library. The book's associated web-site is a major bonus for the reader. I did find that some of the figure captions were challenging to interpret but the problem does not seem pervasive. Overall, I liked the book. It is a valuable addition to the image processing literature and to the image processing textbook selection.
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