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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