Experimental study on JPEG-LS algorithm

In order to meet the increasing need of high quality images in the current trend, it is very important to manage image data so that they can be efficiently transmitted, received and stored without any loss of information. This motivates us to perform a research on the JPEG-LS, which is the current standard for lossless image compression. In this paper a comparative study of JPEG-LS algorithm is presented. 7 lossless techniques are proposed and compared with the performance of JPEG-LS. 5 of proposed techniques use the casual template used in JPEG-LS with fixed predictor and limited to work in regular mode of operation which involves prediction followed by entropy coding. Rest 2 techniques are independent of JPEG-LS and perform encoding based on position information of each pixel. Huffman coding is used for entropy coding of prediction errors and transformed images. Experimentation is done using 10 standard grayscale images of size 512*512 and results show that the JPEG-LS performs better.