Wavelet compression of medical images with set partitioning in hierarchical trees
Armando Manduca, Amir Said · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
Wavelet-based image compression is proving to be a very effective technique for medical images, giving significantly better results than the JPEG algorithm. A novel scheme for encoding wavelet coefficients, termed set partitioning in hierarchical trees, has recently been proposed and yields significantly better compression than more standard methods. We report the results of experiments comparing such coding to more conventional wavelet compression and to JPEG compression on several types of medical images.