COMPARATIVE STUDY OF TECHNIQUES FOR IMAGE COMPRESSION

 Now a days image storage and transmission has become one of the biggest concerns due to shortage of storage and delay in transmission. Therefore image compression is very much needed for faster transmission and saving of space. The existing technologies have a number of limitations like loss of information, lower compression ratios, lower PSNR and high compression time. Fractal image compression using quad tree decomposition and Huffman coding has been designed and used on a set of standard images like Lena, cameraman and baboon. The results obtained yield good compression ratio and PSNR. The method is also applied to set of fractal images and satellite images. The results obtained are found to be better for fractals and satellite images compared to other existing methods