Abstract
This paper present a new lossless color image compression Algorithm, based on the hierarchical prediction & context modeling arithmetic coding. For the lossless image compression of an RGB image, it is first decor related by a reversible color transform & then Y component is encoded by a conventional lossless grayscale image compression method. For encoding the chrominance images, we develop a hierarchical scheme that enables the used of upper, left and lower pixels for the pixels prediction, whereas the conventional raster scan prediction method use upper & left pixels. An appropriate context model for the prediction error is also define and the arithmetic coding is applied to the error signal corresponding to each context. It is shown that the proposed method further reduces the bit rates compared with JPEG-2000 & JPEG-XR.