Handbook of Image and Video Processing (Communications, Networking and Multimedia) | 
 enlarge | Author: Alan C. Bovik
Publisher: Academic Press
Category: Book
List Price: $142.00
Buy New: $139.99
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New (9) from $139.99
Avg. Customer Rating:  9 reviews
Sales Rank: 243294
Media: Hardcover
Edition: 2
Number Of Items: 1
Pages: 1384
Shipping Weight (lbs): 7.8
Dimensions (in): 11.1 x 8.5 x 2.8
ISBN: 0121197921
Dewey Decimal Number: 621.367
EAN: 9780121197926
ASIN: 0121197921
Publication Date: June 2005
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Product Description
55% new material in the latest edition of this must-have for students and practitioners of image & video processing!
This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource.
Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms
Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula
Covers the various image and video processing standards that exist and are emerging, driving todays explosive industry
Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived
Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data
Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the readers own potential applications
About the Editor
Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.
* No other resource for image and video processing contains the same breadth of up-to-date coverage
* Each chapter written by one or several of the top experts working in that area
* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various,
image-intensive disciplines
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| Customer Reviews: Read 4 more reviews...
Spectacular Book on Image processing October 3, 2006
3 out of 3 found this review helpful
This is the book to have on the subject! It covers almost any aspect that you can think of in image/video processing. This is a MATH intensive book and it will not tell you how to directly implement any of its concepts in code. The author assumes that the reader will be able to do this on there own. Topics are very well explained, but sometimes I needed to reread a topic 3 or 4 times and go over the math a couple times to fully understand. Great book to have as an encyclopedia like resource on the shelf.
Great reference for methods of image and video processing February 2, 2006
8 out of 8 found this review helpful
There is a 2nd edition of this book that was published in July 2005, so all reviews earlier than that are referring to the first edition. Regardless, the second edition of this book is just as good as the first. There are many texts that do a good job of covering image processing, but few do such a good job of covering all of the aspects of video processing - motion detection and estimation, video enhancement and restoration, and video segmentation. There is an entire section on video compression which discusses the H.261 standard, wavelets and video compression, object-based video coding, and the various MPEG standards. There are also articles on video indexing and retrieval and a unified framework for video browsing and retrieval.
In the area of image processing, there is much good information here, but the basics are better explained in "Digital Image Processing" by Gonzales and Woods. Once you master that book, this makes a good secondary reference on image processing. Although this book does go over some image processing basics, it is better at explaining more advanced concepts such as multiframe image restoration, wavelet denoising, 3D shape reconstruction from multiple views, and statistical methods for image segmentation. There are many bad books out there that are collections of articles, but don't let that scare you off. This really is a collection of very good articles published together in a coherent fashion.
There are plenty of equations, example images, and instructive figures in the articles to help explain each concept. Highly recommended.
Outstanding Book ! October 15, 2002
7 out of 8 found this review helpful
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...
 Image Processing for the mathematically inclined May 12, 2001
19 out of 20 found this review helpful
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.
Excellent journal-quality round-up September 23, 2000
11 out of 12 found this review helpful
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.
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