Medical image compression using a new subband coding method

Faouzi Kossentini; Mark J. T. Smith; Allen Scales; Douglas M. Tucker

doi:10.1117/12.207652

27 April 1995 Medical image compression using a new subband coding method

Faouzi Kossentini, Mark J. T. Smith, Allen Scales, Douglas M. Tucker

Proceedings Volume 2431, Medical Imaging 1995: Image Display; (1995) https://doi.org/10.1117/12.207652
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

A recently introduced iterative complexity- and entropy-constrained subband quantization design algorithm is generalized and applied to medical image compression. In particular, the corresponding subband coder is used to encode computed tomography (CT) axial slice head images, where statistical dependencies between neighboring image subbands are exploited. Inter-slice conditioning is also employed for further improvements in compression performance. The subband coder features many advantages such as relatively low complexity and operation over a very wide range of bit rates. Experimental results demonstrate that the performance of the new subband coder is relatively good, both objectively and subjectively.

Citation Download Citation

Faouzi Kossentini, Mark J. T. Smith, Allen Scales, and Douglas M. Tucker "Medical image compression using a new subband coding method", Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995); https://doi.org/10.1117/12.207652

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