Handbook of Image and Video Processing

Rating:
Summary: Great Book
Review: Great book. Lots and lots of interesting information. A must-have for the image-processing professional or anyone seeking to learn more about the field.

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Summary: Excellent book!!!
Review: I bought and received this book about a month ago. I had been using the Gonzalez book for quite some time. It's quite poor compared to this book. This handbook is so accessible and complete, it's all I'm using in my work now. It's very much like a textbook and handbook and how-to book all rolled in one. I work for Microsoft in the digital video area and I'm using it daily. Kudos!!

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Summary: premier organization
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Rating:
Summary: The Ultimate Authority on Image and Video Processing
Review: No other book contains the complete body of knowledge within the image and video processing field. The "Handbook of Image and Video Processing" is the most up-to-date reference and text on this expanding field. The handbook contains contributions from the world's leading image and video processing engineers: Joe Havlicek, Ed Delp, Murat Tekalp, Scott Acton and Jake Aggarwal. The editor Al Bovik has done a superb job in blending the subjects and unifying the presentation within the handbook. I would give my superlative recommendation for use a desktop reference or classroom text. The "Handbook of Image and Video Processing" is the bible of the digital imaging revolution!

Rating:
Summary: It's a comprehensive book in digital/video processing
Review: This book brings the latest digital image/video processing technologies together such as image and video analysis, image and video compression, and image/video communications.... This book is not only a good book for researchers in this area, but also an excellent introductory book for those who want to enter this area. The author is one of the most famous experts in this area.

Rating:
Summary: Outstanding Book !
Review: This book is just GREAT.
It covers almost every single ascpect of image and video processing. Everything is in deep and very good explained. A lot of before-and-after example pictures (important ones in color) are provided too. But beware. You need a fairly good understanding of math to read the book. It is not intended to explain how to use Photoshop, but rather how to write your own ;-)
This book is not a read-along book. Sometimes you have to read a section 2 or 3 times to understand it.
I think sometimes a good Snippet of C-Code would help to understand, but this is acceptable.
Again: A outstanding book, which fully covers all my needs.
The price of 100 us$ is ok, because it's a lot of a book...

Rating:
Summary: Excellent journal-quality round-up
Review: This is a very nice reference work for image processing professionals. It is a collection of articles by various experts in aspects of image processing, reporting on the state-of-the-art in their particular domains. The coverage is broad and deep. However, it is not for everyone. The writing style is that of a refereed journal. If you are not comfortable with that style of exposition, or if you are simply trying to find a snippet of code to implement a particular algorithm, this is not the book for you. At the other extreme, do not expect to find new and startling insights into the field that you did your dissertation on. However, if you want to understand the current state of the art of a colleague's field, or if you need to expand your expertise into a new area of image processing, this is a very good place to start.

Rating:
Summary: Image Processing for the mathematically inclined
Review: This is an encyclopedia of image processing topics. It contains some introductory material to help people understand what images are and how to process them. The majority of the text, however, is for experienced people wanting to look up topics.

This book is big. It is about 8"x11" by 900 pages. It contains material from 100 different professionals on 50 different topics.

The style is academic. The editor is the editor of the IEEE Transactions on Image Processing. The page style is similar to what you would see in an IEEE Transaction.

There is plenty of math. The text explains the mathematics, but not to the depth I would like to see.

The authors illustrate the techniques with many images. If there are no "before and after" images in an image processing book, reject it. Well, this book has plenty of images. That is a strong point.

A week point is there is no source code illustrating the techniques and algorithms. I find this a major weakness, but one that is not unique to this book.

The authors leave much to the reader. This is not a read from cover to cover book. The reader must go slow, take notes, study, and read again to understand the material.

All in all, this is a good source of knowledge on image processing. If you work with images and write software to process images, you should have this book on your desk.