Image Compression Using Vector Quantization with MATLAB Implementation

This MATLAB-based code implements image compression through vector quantization, utilizing built-in MATLAB functions for image processing and neural network training. The implementation employs Self-Organizing Map (SOM) neural networks for codebook training, achieving high-quality reconstructed images. The description covers key MATLAB functions, their usage, and the algorithm workflow for effective image compression.

MATLAB Source Code for Self-Organizing Map Neural Network with Experimental Data

MATLAB implementation of Self-Organizing Map neural network source code accompanied by experimental datasets and algorithm analysis

MATLAB Source Code for Self-Organizing Map Neural Network with Experimental Data

MATLAB implementation of Self-Organizing Map neural network with accompanying experimental datasets