Wavelet compression of medical images with set partitioning in hierarchical trees

Armando Manduca; Amir Said

doi:10.1117/12.238447

15 April 1996 Wavelet compression of medical images with set partitioning in hierarchical trees

Armando Manduca, Amir Said

Proceedings Volume 2707, Medical Imaging 1996: Image Display; (1996) https://doi.org/10.1117/12.238447
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

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.

Citation Download Citation

Armando Manduca and Amir Said "Wavelet compression of medical images with set partitioning in hierarchical trees", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); https://doi.org/10.1117/12.238447

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