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Handbook of Image and Video Processing, 2nd Edition
book

Handbook of Image and Video Processing, 2nd Edition

by Alan C. Bovik
July 2010
Intermediate to advanced
1384 pages
74h 23m
English
Academic Press
Content preview from Handbook of Image and Video Processing, 2nd Edition
3.8

Multi-Frame Image Restoration

Timothy J. Schulz,     Michigan Technological University

Introduction

2 Mathematic Models

2.1 Image Blur and Sampling

2.2 Noise Models

3 The Multi-Frame Restoration Problem

3.1 Restoration as an Optimization Problem

3.2 Linear Methods

3.3 Nonlinear (Iterative) Methods

4 Nuisance Parameters and Blind Restoration

5 Applications

5.1 Fine-Resolution Imaging from Undersampled Image Sequences

5.2 Ground-based Imaging through Atmospheric Turbulence

5.3 Ground-based Solar Imaging with Phase Diversity

Acknowledgments

References

1 Introduction

Multi-frame image restoration is concerned with the improvement of imagery acquired in the presence of varying degradations. The degradations can arise from a variety ...

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Publisher Resources

ISBN: 9780121197926