Image Restoration: Mathematical Models, Algorithms, and MATLAB Implementation

Chapter 14: Image Restoration | 14.1 Degradation Models - Continuous & Discrete Systems | 14.2 Algebraic Restoration Methods - Inverse Filtering & Least Squares Filtering | 14.3 MATLAB Implementation - Wiener Filtering, Regularized Filtering, Lucy-Richardson Algorithm, Blind Deconvolution & Other Built-in Functions

Image Restoration, Degradation Models, Continuous Degradation Models, Discrete Degradation Models, Algebraic Restoration Methods, Algebraic Restoration Principles, Inverse Filtering Restoration, Least Squares Filtering

Image Restoration, Degradation Models, Continuous Degradation Models, Discrete Degradation Models, Algebraic Restoration Methods, Algebraic Restoration Principles, Inverse Filtering Restoration, Least Squares Filtering, MATLAB Implementation of Image Restoration, Wiener Filter Restoration, Regularized Filter Restoration, Lucy-Richardson Restoration, Blind Deconvolution Restoration, Other MATLAB Functions for Image Restoration