Hierarchical Fixed Prediction of Mixed based for Medical Image Compression

Imaging plays a critical role in health care system, but unfortunately exhausted lager bytes which affected both storage and communication, medical image compression reduce the amount of image data while keeping the image compressed identically to the original one that characterized by low compression ratio since where keeping all the information is prioritised. This paper is concerned with improving the performance of medical image compression of fixed prediction based, by incorporating the hierarchical scheme of even/odd based along the mixing prediction of quadrants. The test result indicates the superiority of the proposed system compared to the traditional fixed coding with preserving image identically.