MATLAB Source Code for Embedded Zerotree Wavelet (EZW) Processing of Grayscale Images

This MATLAB source code implements the Embedded Zerotree Wavelet (EZW) algorithm for grayscale image processing. The algorithm performs both image compression and decompression while effectively preserving critical image information through progressive encoding. During compression, the implementation decomposes images into multiple frequency subbands using wavelet transforms, then applies hierarchical threshold coding to prioritize significant coefficients through zerotree data structures. The decompression process reconstructs images by reversing the encoding procedure, progressively refining image quality using saved significance maps and coefficient values. Key implementation aspects include wavelet filter bank selection, coefficient scanning patterns, and dynamic threshold adjustment. This codebase serves as an educational resource for understanding EZW's embedded coding principles and can be integrated into image processing applications for efficient compression workflows.