Review of Image Compression and Comparison of its Algorithms
Nirbhay Kumar Kashyap · International Journal of Information Science and Computing · 2014
Signal and Image processing is a field which has been revolutionized by the application of computer and imaging technology. It has become very difficult to manage uncompressed multimedia (graphics, audio and video) data because it requires considerable storage capacity and transmission bandwidth. To solve this issue several techniques have been developed. This paper gives an idea about popular image compression algorithms based on Wavelet, JPEG/DCT, VQ, and Fractal approaches. We review and discuss the advantages and disadvantages of these algorithms for compressing grayscale images. Among all available techniques wavelet transforms have been found very useful.