Wavelet-based medical image compression

摘要: Abstract In view of the increasingly important role played by digital medical imaging in modern health care and consequent blow up amount image data that have to be economically stored and/or transmitted, need for development compression systems combine high performance preservation critical information is ever growing. A powerful scheme based on state-of-the-art wavelet-based presented this paper. Compression achieved via efficient encoding wavelet zerotrees (with embedded zerotree (EZW) algorithm) subsequent entropy coding. The basic version EZW improved upon a simple, yet effective, way more accurate estimation centroids quantization intervals, at negligible cost side information. Regarding coding stage, novel RLE-based coder proposed proves much simpler faster only slightly worse than context-dependent adaptive arithmetic useful flexible compromise between requirement selected regions interest provided through two intelligent, ways achieving so-called selective compression. use lifting guaranteed lossless presence numerical inaccuracies being investigated with interesting preliminary results. Experimental results are verify superiority our over conventional block transform techniques (JPEG) respect both objective subjective criteria. potential progressive transmission, where given highest priority, also demonstrated.