Certain investigations on near Lossless and lossless image Compression of still images

Abstract

Still image compression is an important issue in internet mobile newline Communications digital library digital photography multimedia newline teleconferencing applications etc It would be obvious that the present and newline future applications in multimedia space medical and other areas would focus newline on the problem of optimizing storage space transmission bandwidth and newline getting quality image when decompression In many of these applications big newline savings in terms of bit rate can be achieved without any loss of information by newline the use of a suitable new model and coding method newline In proposed Near Lossless Image Compression NLIC algorithm newline simple arithmetic shift is applied on the gray scale image pixels then these newline pixels are arranged sequentially by the selected scan order and finally the newline Huffman coding is applied to code the gray scale image The near lossless can newline be achieved with competitive performance compared to the existing newline Arithmetic compression System ACS and Set Partitioning in Hierarchical newline Trees SPIHT especially for satellite imaging Also this algorithm achieves newline better PSNR Value with good compression rate compared to the State of the art newline schemes for the gray scale standard test images newline newline