K-SVD Algorithm MATLAB Implementation

MATLAB code implementation of K-SVD algorithm for creating redundant dictionaries and performing sparse image decomposition

Sparse Decomposition and Precise Reconstruction of Images using Matching Pursuit

Implementation of image sparse decomposition and exact reconstruction using Matching Pursuit algorithm with 2D Gabor atoms

Image Inpainting Implementation Using Sparse Decomposition Based on Matching Pursuit Algorithm

This method performs image inpainting by applying sparse decomposition concepts using the Matching Pursuit (MP) algorithm, with consideration given to the energy characteristics of atoms in the dictionary. The implementation involves iterative atom selection, residual updates, and sparse coefficient optimization.