MATLAB Implementation of Digital Image Processing: K-SVD Dictionary Learning with Sparse and Redundant Representations

Digital image processing using K-SVD dictionary learning method, sparse and redundant representation theory for signals, featuring MATLAB implementation examples for image compression and image denoising applications with algorithm explanations.

Enhanced Dictionary Learning: Multi-Dictionary Updates and Coefficient Reuse

This MATLAB code repository from the SCI paper "Enhanced Dictionary Learning: Multi-Dictionary Updates and Coefficient Reuse" contains implementations of matching pursuit algorithms including OMP, Batch-OMP, and CoROMP, along with an improved K-SVD dictionary learning algorithm. These essential source codes for image sparse representation research provide valuable learning resources featuring atomic decomposition techniques and dictionary optimization methods.