Biorthogonal wavelets for image compression

Eric Majani

doi:10.1117/12.185990

16 September 1994 Biorthogonal wavelets for image compression

Eric Majani

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185990
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

Biorthogonal wavelets or filterbanks are shown to be superior in coding gain performance than orthogonal ones for logarithmic subband decompositions (limited to iterative decomposition of the downsampled output of the analysis low-pass filter). As a consequence, for logarithmic decompositions, the optimal filter is not an ideal filter. This is shown for maximally regular biorthogonal and orthogonal filters, as well as filters designed to optimize the subband coding grain.

Citation Download Citation

Eric Majani "Biorthogonal wavelets for image compression", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185990

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