July 2010
Intermediate to advanced
1384 pages
74h 23m
English
Content preview from Handbook of Image and Video Processing, 2nd Edition
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3.6
Regularization in Image Restoration and Reconstruction
W.Clem Karl, Boston University
1.1 Image Restoration and Reconstruction Problems
1.2 Least-Squares and Generalized Solutions
1.3 The Need for Regularization
2 Direct Regularization Methods.
2.1 Truncated SVD Regularization
2.2 Tikhonov Regularization
2.3 Non-Quadratic Regularization
2.4 Statistical Methods
2.5 Parametric Methods
3 Iterative Regularization Methods.
4 Regularization Parameter Choice.
4.1 Visual Inspection
4.2 The Discrepancy Principle
4.3 The L-Curve
4.4 Generalized Cross-Validation
4.5 Statistical Approaches
1 Introduction
This chapter focuses on the need for and use of regularization methods in the solution of ...
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