MATLAB Implementation of High-Efficiency SPIHT Algorithm for Still Image Compression

MATLAB implementation of SPIHT (Set Partitioning in Hierarchical Trees) - a highly efficient wavelet-based compression algorithm for still images. This implementation excludes arithmetic coding and demonstrates the core SPIHT methodology through modular MATLAB functions including wavelet decomposition, encoding, and decoding components.

Gesture Recognition in Static Images: Segmenting Gesture Components from a Single Image

Gesture Recognition in Static Images: Segmenting Gesture Components from a Single Image using Computer Vision Techniques

Wavelet Transform-Based SPIHT Algorithm for High-Efficiency Still Image Compression Coding

An efficient still image compression coding algorithm SPIHT based on wavelet transformation, implemented in MATLAB with detailed code explanations and demonstrations