Handbook of Image and Video Processing, 2nd Edition

3.9

Iterative Image Restoration

Aggelos K. Katsaggelos,     Northwestern University, Evanston

Chun-Jen Tsai,     National Chiao Tung University, Taiwan

1 Introduction

2 Iterative Recovery Algorithms

3 Spatially Invariant Degradation

3.1 Degradation Model

3.2 Basic Iterative Restoration Algorithm

3.3 Convergence

3.4 Reblurring

3.5 Experimental Results

4 Matrix-Vector Formulation

4.1 Basic Iteration

4.2 Least-Squares Iteration

4.3 Constrained Least-Squares Iteration

4.4 Spatially Adaptive Iteration

5 Use of Constraints

5.1 Experimental Results

6 Additional Considerations

6.1 Other Forms of the Iterative Algorithm

6.2 Hierarchical Bayesian Image Restoration

6.3 Additional Applications

7 Discussion

References

1 Introduction

In this ...