MATLAB Implementation of JPEG2000 Codec

Resource Overview

MATLAB-based implementation of JPEG2000 encoder and decoder, covering the complete compression pipeline with algorithm explanations and key function descriptions.

Detailed Documentation

This project implements JPEG2000 encoding and decoding using MATLAB. The implementation follows standard JPEG2000 workflow including image preprocessing, discrete wavelet transform (DWT) using functions like wavedec2, quantization with adjustable step sizes, and entropy encoding through embedded block coding with optimized truncation (EBCOT). The code allows parameter tuning for wavelet filters (e.g., 'bior4.4' or 'db9'), quantization thresholds, and compression ratios. Researchers can explore optimization algorithms by modifying DWT decomposition levels, implementing rate-distortion optimization, or incorporating machine learning techniques for enhanced compression efficiency. The implementation provides flexibility for algorithm modifications through configurable parameters, alternative entropy coding methods, and additional features like region-of-interest coding to improve image quality and compression performance.