A New Hybrid Approach to Dicom Medical Image Compression

This paper focuses on the very important aspect of image compression and that too on the medical images which are very important so far as diagnosis of various dieses are concerned. This paper focuses on two major aspects i.e. compression on medical images so that the storage space and bandwidth can be saved and also keeping very important information for effective diagnosis. In this paper we have made use of hybridization of Singular Value Decomposition (SVD) and Discrete wavelet transform (DWT) for the lossy image compression followed by arithmetic coding for the lossless image compression. We utilized Peak Signal to Noise Ratio(PSNR), Mean Square Error (MSE), Compression Ration, Correlation and Elapsed Time for the sake of performance measurement and comparison.