Effective lossless compression for medical image sequences using composite algorithm

Medical image compression is unavoidable due to large amount of storage space or high bandwidth for communication in its original form. In hospitals sequence of images are produced which are much correlated. Hence lossless image compression technique is required. To exploit the correlation a new algorithm is proposed in this paper. The proposed compression method combines Super-Spatial Structure Prediction with interframe coding to achieve higher compression ratio. Initially the Super-Spatial Structure Prediction algorithm is applied with the fast block-matching process which includes Diamond Search method. To further increase the compression ratio we propose a new scheme Head Code Compression. Experimental results of our proposed Composite algorithm for medical image sequences achieve 25% more reduction than the prior arts.