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Image Processing and Data Analysis: The Multiscale Approach

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Image Processing and Data Analysis: The Multiscale Approach [Hardcover]

Jean-Luc Starck (Author), Fionn D. Murtagh (Author), Albert Bijaoui (Author)

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Product details

Hardcover: 297 pages
Publisher: Cambridge University Press (21 May 1998)
Language English
ISBN-10: 0521590841
ISBN-13: 978-0521590846
Product Dimensions: 24.7 x 17.4 x 2.1 cm
Amazon Bestsellers Rank: 5,688,944 in Books (See Top 100 in Books)

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Product Description

Review

'Undoubtedly, this book will be a welcome reference for anyone interested in using various image-processing methods.' Andre Csillaghy, Scientific Computing World

Product Description

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

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A range of very different ideas have been used to formulate the human ability to view and comprehend phenomena on different scales. Read the first page

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Amazon.com: 3 reviews

7 of 8 people found the following review helpful

A good, practical book on image processing 30 Aug 2000

By A Customer - Published on Amazon.com

Format:Paperback

From my persepective I consider this book a bargain. The price is right and I certainly got my nickels worth reading it.

I am heavily into 2-D wavelet analysis of remote sensing imagery. My initial,naive foray into this topic was a very frustrating experience. Most wavelet books do not cover multidimensional applications well or at all. In fact, most wavelet books are inordinately concerned with the mathematical nuances of the subject and pay little attention to the mechanics of implementing the theory. So all wavelet books read pretty much the same and there is usually nothing new or insightful from one text to another.

Starck et al is the exception. It has the only clear exposition of 2-D non-separable and a trous wavelet methods that I have found anywhere. The book has been a time saver for me and not a time waster, and well worth the investment.

3 of 5 people found the following review helpful

Excellent book, easy to read 4 April 1999

By Zeno Geradts - Published on Amazon.com

Format:Paperback

This book appeared very easy to read and is an excellent resource of multiscale techniques. The practical applications that are discussed in this book combined with the theory, give a good overview.

3 of 5 people found the following review helpful

This is not a five star book 23 Jun 2001

By Ian Kaplan - Published on Amazon.com

Format:Paperback

I purchased this book because I am interested in applying wavelet to financial time series. The authors have written a paper in using wavelets and noise analysis to filter these time series, so I thought that this book had promise. And in fact chapter 2 deals with noise modeling and noise filtering.

The only problem is that I found this material impossible to follow. Despite the claims that the book is aimed at applications, there are few real examples. In the case of noise modeling and noise filtering there are none. It was impossible for me to tell whether the techniques they seem to suggest work or how they can be applied.

I've become fairly expert on Haar wavelets. Even so I can read their explaination of the Haar wavelet transform only with difficulty.

The authors give the impression that they are academics writing for academics (at the post graduate level). The book provides equations as quick short hand for ideas and the reader is expected to fill in the blanks. Perhaps a post graduate background in math is needed. However I would not say that the publishers description properly reflects the contents of this book: "[the book] develops the reader's undersanding of each technique and then shows with practical examples how they can be applied to improve the skills of [...] electrical engineers." Real world applications are mentioned, but never fully explained.

All in all I found this book an expensive disappointment.

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