Progressive coding of medical volumetric data using three-dimensional integer wavelet packet transform
Examines progressive lossy-to-lossless compression of medical volumetric data using 3D integer wavelet packet transforms and set partitioning in hierarchical trees (SPIHT). To achieve good lossy coding performance, we describe a 3D integer wavelet packet transform that allows implicit bit shifting of wavelet coefficients to approximate a 3D unitary transformation. We also address context modeling for efficient entropy coding within the SPIHT framework. Both lossy and lossless coding performances are better than those reported by A. Bilgin et al. (1998).