Resolution scalable image coding with dyadic complementary rational wavelet transforms

Authors:
F. Petngang;R. M. Dansereau;C. Joslin
Affiliations:
Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada;Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada;Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada
Venue:
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Year:
2010

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Abstract

Traditional wavelet-based image coders use dyadic multiresolution decompositions, resulting in spatial resolutions that are also dyadic in scale, i.e., powers of 1/2 the original resolution. In this paper, we increase the set of decodable spatial resolutions beyond dyadic scales by introducing a two-dimensional wavelet decomposition made of combining wavelet transforms of non-integer dilation factors. We describe how the proposed wavelet decomposition can produce spatial resolutions related to the original resolution by dyadic and non-dyadic ratios, and present how the resulting subband structure can be made compatible with zerotree-based subband coders.