Sk. Abdul Vaheed, R Bala Dinakar
This paper presents a state-of-the-art implementation of lossless image compression algorithm LOCO-R, which is based on the LOCO-I (low complexity lossless compression for images) algorithm developed by Weinberger, Seroussi and Sapiro, with modifications and betterment, the algorithm reduces obviously the implementation complexity. Experiments illustrate that this algorithm is better than Rice Compression typically by around 15 percent. Having identified the difficulties with the storage and transmission of data over long distances, research has led to a number of efficient image compression techniques to conserve bandwidth. A study of the literature available on the current problem reveals a large number of available techniques. Some of these techniques are mentioned in the Introduction. Each technique differs from the other technique in terms of Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR).
Image Compression; LZW; BCH