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Proceedings Paper

Time-varying subband image coding with efficient reduction of higher-order redundancy
Author(s): Benoit Maison; Luc Vandendorpe
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Paper Abstract

A region-adaptive subband coding algorithm is studied. The shape of the regions is not given beforehand, but is the result of a joint optimization with the set of coding operators. A simple space-varying M x M-band subband decomposition technique with instantaneous switching is utilized so that each M by M image block can be allocated to one of N concurrent encoders. The joint optimization is iterative and switches back and forth between optimization of the region shapes and of the coding operators defined by a set of subband filters and entropy coding tables ( quantization is uniform and constant) . From an information theoretic viewpoint, this procedure corresponds to the modeling of higher order redundancy by means offinite multidimensionalmixtures. The algorithm is tested on natural images and several conclusions are drawn. Region-adaptive coding presents a significant advantage compared to the equivalent single coder system. Although the optimal regions exhibit a distinctive structure, it is very different from any high level object-based segmentation. Finally, the efficiency of the approach lies mainly in its region-adaptive entropy coding capability. Adaptation of the transform operator itself appears to be less important. Keywords: Image Compression, Subband Coding, Adaptive, Mixture Distributions, HOS, Nonlinear Modeling

Paper Details

Date Published: 9 January 1998
PDF: 12 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298318
Show Author Affiliations
Benoit Maison, Univ. Catholique de Louvain (Belgium)
Luc Vandendorpe, Univ. Catholique de Louvain (Belgium)

Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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