Digital Signal Processing Handbook P34

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Digital Signal Processing Handbook P34

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Iterative Recovery Algorithms 34.3 Spatially Invariant Degradation 34.4 Matrix-Vector Formulation Degradation Model • Basic Iterative Restoration Algorithm • Convergence • Reblurring Basic Iteration • Least-Squares Iteration 34.5 Matrix-Vector and Discrete Frequency Representations 34.6 Convergence Basic Iteration • Iteration with Reblurring 34.7 Use of Constraints The Method of Projecting Onto Convex Sets (POCS) 34.8 Class of Higher Order Iterative Algorithms 34.9 Other Forms of (x) Ill-Posed Problems and Regularization Theory • Constrained Minimization Regularization Approaches • Iteration Adaptive Image Restoration Algorithms Aggelos K. Katsaggelos Northwestern University 34.10 Discussion...

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