Lossless compression of segmented biomedical images with an adaptive arithmetic coding model

Any image can be segmented into regions containing information without the background that can be added at the reconstruction stage thus providing a lossless compression of approximately 3:1 in most cases. When this segmentation process is combined with an adaptive arithmetic coding model, an extremely efficient and powerful lossless coding model yielding compression ratios up to 9:1 can be developed. Such models can be quite useful for archiving wide varieties of biomedical images losslessly.