K-SVD Algorithm MATLAB Implementation
MATLAB code implementation of K-SVD algorithm for creating redundant dictionaries and performing sparse image decomposition
Explore MATLAB source code curated for "图像稀疏分解" with clean implementations, documentation, and examples.
MATLAB code implementation of K-SVD algorithm for creating redundant dictionaries and performing sparse image decomposition
Implementation of image sparse decomposition and exact reconstruction using Matching Pursuit algorithm with 2D Gabor atoms
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.