Medical Image Compression Using ISPIHT&JPEG2000 Hybrid

Image compression aims at reducing the size of an image without losing valuable information. It is needed in order to reduce the storage space and to minimize the transfer time over a network. Compression plays a more vital role in the field of medical imaging where a huge amount of storage is required to store these images and retrieve later for diagnosis. The Improved Set Partitioning in Hierarchical Trees is an enhanced SPIHT algorithm that is designed to provide maximum quality. However more optimum results can be obtained if it is combined with other techniques such as JPEG2000. In this paper I have tried to demonstrate how better image compression can be achieved by combining ISPIHT and JPEG2000 to create a new hybrid coder which gives better results as compared to the former methods. The results are compared on the basis of three quality matrices: PSNR, MSE and entropy.