Enhancement of the Huffman Algorithm with Discrete Wavelet Transform Applied to Lossless Image Compression

This study introduces an enhanced approach for compressing and decompressing grayscale images using an advanced version of the Huffman coding algorithm. Instead of relying on the basic algorithm, the researchers employed the Discrete Wavelet Transform to decompose the image into distinct sets of signals. These signals were then converted into a bit stream using an improved version of Huffman coding, achieving further compression. The proposed algorithm outperforms other techniques in terms of compression ratio, compression time, and bits per pixel. This study provides a starting point for future researchers to optimize and enhance the algorithm, benefiting various fields such as digital imaging and data storage.