Progressive and lossless image coding using optimized nonlinear subband decompositions.
Amel Benazza‐Benyahia, Jean‐Christophe Pesquet · NSIP · 1999
In super high-de nition image applications such as medical image archival, progressive and lossless coding is required since any degradation in the decompressed image is unacceptable. Recently, nonlinear subband decompositions have received much attention as they provide very compact multiresolution representations and they allow exact reconstruction of the input image. Within this framework, we propose to design optimized decompositions adapted to the variations of the statistics of the images under study. Comparative investigations are performed by simulations, indicating that the proposed decompositions outperform the existing lossless compression techniques.