Medical image compression using a new subband coding method
Faouzi Kossentini, Mark J. T. Smith, Allen Scales, Douglas M. Tucker · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
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.