Region Based Image Compression Based on Textural Properties in MRI Images for Telemedicine Applications

The paper proposes a hybrid image compression model for efficient transmission of medical image using lossless and lossy coding for telemedicine application. Since storage space demands in hospitals are continually increasing compression of the recorded medical images is the need of the hour. In medical images only a small part should be diagnosis. Hence Region based coding (RBC) technique is substantial for medical image compression. Since lossless & lossy compression is significant in order to achieve high compression. But the very high compression ratio refers to the quality of the image. Given a particular compression ratio, the quality of the image reconstructed using the Huffman coding for compression would be better. This paper presents a method of employing both methods Integer wavelet transform (IWT) and the SPIHT (set partitioning in hierarchical trees) algorithm helps to reconstruct the medical image up to the desired quality. Finally the performance of method will be evaluated using the parameters like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Quality factor and Compression ratio.