An efficient and selective image compression scheme using Huffman and adaptive interpolation

This paper proposes a hybrid approach to compression. It incorporates lossy as well as lossless compression. Various parts of image are compressed in either way, depending on the amount of information held in that part. This scheme consists of two stages. In the first stage the image is filtered by a high pass filter to find the areas that have details. In the second stage, an effective scheme based on Huffman coding and adaptive interpolation is developed to encode the original image. With this algorithm, a good compression ratio is obtained, while, PSNR and SSIM are better to that of other methods available in literature. In other words, the newly proposed algorithm provides an efficient means for image compression.