Implementation of Huffman Image Compression And Decompression Algorithm

Abstract: Compression is used about everywhere. Images are very important documents nowadays; to work with them in some applications they need to be compressed, more or less depending on the purpose of the application. There are various algorithms that performs this compression in different ways; some are lossless and keep the same information as the original image, some others loss information when compressing the image. In this paper I have been working with Huffman lossless compression algorithms for different grayscale images. I have seen how well the different format work for each of the images. The compression ratio (CR) and peak signal to noise ratio (PSNR) are obtained for different images.

Keywords: Lossless compression; compression ratio (CR); peak signal to noise ratio (PSNR)