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Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) 1st Edition

4.7 out of 5 stars 6 customer reviews
ISBN-13: 978-0898716184
ISBN-10: 0898716187
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Editorial Reviews

Review

'The book's focus on imaging problems is very unique among the competing books on inverse and ill-posed problems ... It gives a nice introduction into the MATLAB world of images and deblurring problems.' Martin Hanke, Johannes-Gutenberg-Universität

Book Description

This book's treatment of image deblurring is unique in two ways: it includes algorithmic and implementation details; and by keeping the formulations in terms of matrices, vectors, and matrix computations, it makes the material accessible to a wide range of readers.
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Product Details

  • Series: Fundamentals of Algorithms (Book 3)
  • Paperback: 130 pages
  • Publisher: Society for Industrial and Applied Mathematic; 1 edition (October 29, 2006)
  • Language: English
  • ISBN-10: 0898716187
  • ISBN-13: 978-0898716184
  • Product Dimensions: 6 x 0.3 x 9 inches
  • Shipping Weight: 8.8 ounces (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,747,754 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Paperback Verified Purchase
It comes with some matlab code to help you get started with image processing. I think it was well written and pretty easy to understand. You may want a linear algebra book as well, just because the spectral decomposition stuff isn't always taught in undergrad math.
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Format: Paperback Verified Purchase
I enjoy reading this book very much. From introductory material to algorithmic and implementation details, it is packed with interesting material.

I especially like the `Pointer' and `Very Important Point (VIP)' sections throughout the book. Many times, the VIP and Pointer sections help me focus on what was covered even though the material may be a bit unclear to me or I may have forgotten a piece of the mathematics. Another nice feature is that you don't need to have MATLAB Image Processing Toolbox (IPT) to implement the algorithm in the book, the authors provide a HNO MATLAB package to supplement the IPT functions.

To understand the material, you should be comfortable with numerical analysis and linear algebra. A good grasp on Numerical Linear algebra at Demmel's or Trefethen's or Golub's book would not hurt. My minor complaint is the high price for such a small book.

Highly recommended. A real gem!
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Format: Paperback Verified Purchase
Necessary book for someone who wants to start the research process in this area. Good examples and sample code. I especially was interested in the iterative methods to help me understand the algorithms
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