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

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

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

Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) Summary:


Publisher: Society for Industrial and Applied Mathematic | 2006 | 130 Pages | ISBN: 0898716187 | PDF | 26.65 MB

“ This book is intended for beginners in the field of image restoration and regularization. Readers should be familiar with basic concepts of linear algebra and matrix computations, including the singular value decomposition and orthogonal transformations. A background in signal processing and a familiarity with regularization methods or with ill-posed problems are not needed. For readers who already have this knowledge, this book gives a new and practical perspective on the use of regularization methods to solve real problems.

 
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Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) Keywords

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