Performance analysis of lossless compression algorithms on medical images

Abstract

Medical images play importance role in medical science. Through medical images, doctor can do more accurate diagnoses and treatment for patients. However, medical images consume large data size; therefore, data compression is necessary to be applied in medical images. This study presents a comparison of lossless compression techniques: LOCO-I, LZW, and Lossless JPEG algorithms which tested on 5 modalities of medical images. All the algorithms are theoretically and practically a lossless image compression which has MSE equal to 0. Moreover, LZW offers higher compression ratio and faster decompression process but slower compression process than the other two algorithms. Lossless JPEG has the lowest compression ratio and requires more time both to compress and decompress the images. Therefore, in general, in this study, LZW is the best algorithm to implement in compressing medical images.