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Image Processing and Data Analysis: The Multiscale Approach 1st Edition

3.5 out of 5 stars 4 customer reviews
ISBN-13: 978-0521599146
ISBN-10: 0521599148
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Editorial Reviews

Review

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

Book 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. The unique feature of this book is the complementary blend of theory and practical application - with copious illustrations from astronomy, electrical engineering, remote sensing and medicine. It also shows how traditional methods can be enhanced with the new wavelet and multiscale methods.For graduate students and researchers 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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Product Details

  • Paperback: 287 pages
  • Publisher: Cambridge University Press; 1 edition (July 13, 1998)
  • Language: English
  • ISBN-10: 0521599148
  • ISBN-13: 978-0521599146
  • Product Dimensions: 6.8 x 0.6 x 9.7 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,902,921 in Books (See Top 100 in Books)

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Top Customer Reviews

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.
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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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Format: Paperback
This book really does not explain wavelets well at all. Very few examples. Very difficult reading; clumsily written. Equations are used where a few lines of text would have been a great help.
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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.
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Image Processing and Data Analysis: The Multiscale Approach
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