A lossless compression method of medical images based on neighborhood´s match

With the rapid increase of the medical images and the wide application of PACS, more and more attention is paid to the effective lossless compression of the medical images. In this paper, a compression method compatible with JPEG-LS standard and based on neighborhood´s match is presented. A context vector predictive model is used to remove the redundancy of the neighborhood pixels. The experimental results show that the new method is effective in decreasing the redundant data of the medical images, and gets a high compression ratio, while keeping the low complexity of JPEG-LS algorithm.