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

Resource Overview

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

Detailed Documentation

A wavelet transform-based static image compression coding algorithm called SPIHT (Set Partitioning in Hierarchical Trees) delivers exceptional compression efficiency. This MATLAB implementation provides comprehensive code explanations and demonstrations to facilitate understanding.

The algorithm leverages wavelet transform characteristics to achieve high-efficiency compression coding for static images. SPIHT not only significantly reduces image storage requirements but also maintains high image quality and preserves fine details. The MATLAB implementation includes key functions for wavelet decomposition, significance testing, and bit-plane coding, allowing users to easily execute the algorithm. Through detailed code annotations and practical demonstrations, users can gain deeper insights into the algorithm's principles and implementation process, including the hierarchical tree structure organization and progressive bit transmission mechanism.