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Summary: A good text book in image processing class
Review: 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.
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Summary: The best image processing book ever!
Review: A perfect image processing guide for beginners as well as advanced researchers. Very easy to read, and has nice examples. (It does not cover some very advanced image processing concepts.)
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Summary: A perfect book
Review: After 9 years as a researcher in image analysis and pattern recognition, I still refer to this book on a regular basis. It give straightforward explainations of a broad range of algorithms. If I ever forget how to do something, I know I can look here and be reminded.
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Summary: A very good textbook
Review: 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.
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Summary: I recommend that beginners pass on it
Review: I found this book to _not_ be very useful when it came to my Digital Image Processing class. Possibly it was do to it being my first experience in the subject, but the real world applications and concepts of the methods and algorithms are not explained in the book. Either are the algorithms themselves really. If you want the nuts and bolts math behind the concepts this is a good book. If you want something to explain to you what everything in DIP is all about (besides integrals and summations) and how to apply it, this book is poor.
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Summary: A non-commonly found textbook on Digital Image Processing
Review: 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.
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Summary: Low Price Edition
Review: On this site, there are already good reviews of this book.
So I would like to post only a comment on the "Low Price" or "International" or "Indian" edition: IT IS VERY VERY CHEAP and LOW QUALITY The pages are almost transparent. While reading a face of a page, you can guess what is written on the other face. Definitely annoying.
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Summary: Nice book
Review: Pleasure to read. Also, make sure u get ISBN: 0139353224.
Two-Dimensional Signal and Image Processing
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Summary: Not for Beginners
Review: The book contains so much math formulas in the beginning that you probably think that you have to go back to your math books. If you have to get this book for your class then basically you are in trouble like me unless you are an expert. The book is not also very interesting in reading. Authors do have technical knowledge but have no clue how to hold the readers. Unless you are wasting your life for Image Processing only then I recommend getting this book otherwise "Big No-No" for everyone else.
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Summary: A comprehensive book for almost everyone
Review: The book gives a comprehensive treatment on image processing and covers the appropriate amount of information. The depth of materials was appropriate for someone already familiar with basic signal and probability theories. This is definitely the book to keep as reference if you plan to work in the area. An additional chapter on image reconstruction will be extra helpful.
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