MATLAB Implementation of K-SVD Algorithm with Dictionary Learning

This K-SVD algorithm implementation enables sparse data representation through dictionary training, featuring optimized atom updates and sparse coding using orthogonal matching pursuit (OMP).

Image Reconstruction Using the KSVD Algorithm

Image reconstruction based on the KSVD algorithm, including sample images, implementation code, and learned dictionaries for reference

MATLAB Implementation of OMP Algorithm for Sparse Representation

OMP Algorithm: Implementation of Matching Pursuit method that takes dictionary and image as inputs to compute sparse coefficients representing the image in the dictionary space, with detailed explanations and code insights.