Handbook of Image and Video Processing, 2nd Edition

3.5

Basic Methods for Image Restoration and Identification

Reginald L. Lagendijk and Jan Biemond,     Delft University of Technology, The Netherlands

1 Introduction

2 Blur Models

2.1 No Blur

2.2 Linear Motion Blur

2.3 Uniform Out-of-Focus Blur

2.4 Atmospheric Turbulence Blur

3 Image Restoration Algorithms

3.1 Inverse Filter

3.2 Least-Squares Filters

3.3 Iterative Filters

3.4 Boundary Value Problem

4 Blur Identification Algorithms

4.1 Spectral Blur Estimation

4.2 Maximum Likelihood Blur Estimation

References

1 Introduction

Images are produced to record or display useful information. Due to imperfections in the imaging and capturing process, however, the recorded image invariably represents a degraded version of the original scene. ...