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Handbook of Convex Optimization Methods in Imaging Science

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Cover of 'Handbook of Convex Optimization Methods in Imaging Science'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Optimizing Image Quality
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    Chapter 3 Computational Color Imaging
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    Chapter 4 Optimization Methods for Synthetic Aperture Radar Imaging
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    Chapter 5 Computational Spectral and Ultrafast Imaging via Convex Optimization
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    Chapter 6 Discriminative Sparse Representations
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    Chapter 7 Sparsity Based Nonlocal Image Restoration: An Alternating Optimization Approach
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    Chapter 8 Sparsity Constrained Estimation in Image Processing and Computer Vision
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    Chapter 9 Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision
Attention for Chapter 7: Sparsity Based Nonlocal Image Restoration: An Alternating Optimization Approach
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Chapter title
Sparsity Based Nonlocal Image Restoration: An Alternating Optimization Approach
Chapter number 7
Book title
Handbook of Convex Optimization Methods in Imaging Science
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-61609-4_7
Book ISBNs
978-3-31-961608-7, 978-3-31-961609-4
Authors

Xin Li, Weisheng Dong, Guangming Shi

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