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Wavelet Analysis with Applications to Image Processing
 
 
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Wavelet Analysis with Applications to Image Processing [Hardcover]

Lakshman Prasad (Author), S. S. Iyengar (Author)
3.7 out of 5 stars  See all reviews (3 customer reviews)


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Book Description

0849331692 978-0849331695 December 30, 1997 1
The first book on the topic for readers with minimal mathematical backgrounds, Wavelet Analysis with Applications to Image Processing provides a thorough introduction to wavelets with applications in image processing. This book offers students and researchers without an extensive math background a step-by-step introduction to the power of wavelet transforms and applications to image processing. The first four chapters introduce the basic topics of analysis that are vital to understanding the mathematics of wavelet transforms. Later chapters build on the information pres- ented earlier to cover the major themes of wavelet analysis and its applications to image processing. This is an ideal introduction to the subject for students, and a valuable reference guide for professionals in imaging processing.

Product Details

  • Hardcover: 304 pages
  • Publisher: CRC-Press; 1 edition (December 30, 1997)
  • Language: English
  • ISBN-10: 0849331692
  • ISBN-13: 978-0849331695
  • Product Dimensions: 9.6 x 6.4 x 0.9 inches
  • Shipping Weight: 1.4 pounds
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #1,659,135 in Books (See Top 100 in Books)

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Average Customer Review
3.7 out of 5 stars (3 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

7 of 8 people found the following review helpful:
1.0 out of 5 stars Not a book about wavelets & application, June 17, 2003
By A Customer
This review is from: Wavelet Analysis with Applications to Image Processing (Hardcover)
Majority of the book is review of elementary "background" material never used. There is no cohesion to the book, a seemingly endless enumeration of theorems and proofs chosen at random with a total lack of understanding. The title is also extremely misleading, to put it very kindly. There is one chapter on "Image Processing" that gives no application worth mentioning. Even if you can follow the treatment perfectly and learn everything this book has to teach, then you will have an insight into wavelets and its application in Image Processing as much as the authors, which is embarrassingly little. I know that this all may seem a bit harsh, but there is no way to praise a work of this quality.
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6 of 15 people found the following review helpful:
5.0 out of 5 stars wavelet analysis with applications to image processing, February 29, 2000
By A Customer
This review is from: Wavelet Analysis with Applications to Image Processing (Hardcover)
This book is excellent for people who want to understand wavelet. To me, it is too often to find out that wavelet was applied to problem sovling at a quite superficial level due to lack of necessary mathematical fundation. I'd highly recommand this book for beginning graduate students.
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1 of 37 people found the following review helpful:
5.0 out of 5 stars I'm MS student at Isfahan Univ of Tech in IRAN, June 26, 1999
By A Customer
This review is from: Wavelet Analysis with Applications to Image Processing (Hardcover)
my these is object detection or pattren recognatio
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Inside This Book (learn more)
First Sentence:
The following is a glossary of some of the symbols and abbreviations used freely in this book. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mean fundamental sequence, image encoding techniques, subband filtering scheme, multiscale edge information, integrable simple functions, fast wavelet algorithm, semiclosed intervals, discrete wavelet coefficients, biorthogonal wavelet bases, orthonormal wavelet bases, pyramidal algorithm, dyadic wavelet transform, pyramidal scheme, orthonormal wavelet basis, smoothed image, decomposition formulas, reconstruction formulas, scaling function, orthonormal wavelets, continuous wavelet transform, wavelet analysis, orthonormal system, multiresolution analysis, coefficient sequence, smoothing function
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Application of Wavelets, Academic Press
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