MATLAB Implementation of Wavelet-Based Image Compression

I have developed a MATLAB implementation of a wavelet-based image compression algorithm designed for sequential image processing. This algorithm utilizes wavelet decomposition techniques, where images are transformed using wavelet functions like 'db4' or 'haar' to separate frequency components. Key MATLAB functions employed include wavedec2 for 2D wavelet decomposition and wrcoef2 for reconstruction. The implementation features threshold-based coefficient quantization where insignificant wavelet coefficients are set to zero, followed by efficient encoding using run-length encoding or Huffman coding methods. The compression results are highly effective, significantly reducing image file sizes while preserving critical visual features through intelligent threshold selection and multi-level decomposition strategies. The algorithm handles sequential image compression by applying batch processing techniques with optimized memory management for large image sequences.