Digital image compression using wavelets and wavelet packets based on nonstationary and inhomogeneous multiresolution analyses

Andreas Uhl

doi:10.1117/12.188787

11 October 1994 Digital image compression using wavelets and wavelet packets based on nonstationary and inhomogeneous multiresolution analyses

Andreas Uhl

Author Affiliations +

Proceedings Volume 2303, Wavelet Applications in Signal and Image Processing II; (1994) https://doi.org/10.1117/12.188787
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Unlike the classical wavelet decomposition scheme it is possible to have different scaling and wavelet functions at every scale by using non-stationary multiresolution analyses. For the bidimensional case inhomogeneous multiresolution analyses using different scaling and wavelet functions for the two variables are introduced. Beyond it, these two methods are combined. All this freedom is used for compact image coding. The idea is to build out of the functions in a library that special non-stationary and/or inhomogeneous multiresolution analysis, that is best suited for a given image in the context of compact coding (in the sense of optimizing certain cost-functions).

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Andreas Uhl "Digital image compression using wavelets and wavelet packets based on nonstationary and inhomogeneous multiresolution analyses", Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); https://doi.org/10.1117/12.188787

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