CS Compressed Sensing: A Beginner's Tutorial with Code Implementations

This introductory teaching code demonstrates CS compressed sensing reconstruction using the Orthogonal Matching Pursuit (OMP) algorithm. The fully annotated implementation covers 1D signal and 2D image reconstruction with DCT and wavelet sparsification techniques, featuring both column-scanning and block-based OMP reconstruction methods.

Compressed Sensing Algorithm for Reconstructing Lena Image Using Wavelet Transform and OMP Reconstruction

Implementation of a compressed sensing algorithm combining wavelet transform and Orthogonal Matching Pursuit (OMP) reconstruction for Lena image recovery, demonstrating efficient data compression and reconstruction techniques with code-level insights.