Multiwavelet-transform-based image compression techniques

Sathyanarayana S. Rao; Sung H. Yoon; Deepak Shenoy

doi:10.1117/12.255280

23 October 1996 Multiwavelet-transform-based image compression techniques

Sathyanarayana S. Rao, Sung H. Yoon, Deepak Shenoy

Proceedings Volume 2825, Wavelet Applications in Signal and Image Processing IV; (1996) https://doi.org/10.1117/12.255280
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Multiwavelet transforms are a new class of wavelet transforms that use more than one prototype scaling function and wavelet in the multiresolution analysis/synthesis. The popular Geronimo-Hardin-Massopust multiwavelet basis functions have properties of compact support, orthogonality, and symmetry which cannot be obtained simultaneously in scalar wavelets. The performance of multiwavelets in still image compression is studied using vector quantization of multiwavelet subbands with a multiresolution codebook. The coding gain of multiwavelets is compared with that of other well-known wavelet families using performance measures such as unified coding gain. Implementation aspects of multiwavelet transforms such as pre-filtering/post-filtering and symmetric extension are also considered in the context of image compression.

Citation Download Citation

Sathyanarayana S. Rao, Sung H. Yoon, and Deepak Shenoy "Multiwavelet-transform-based image compression techniques", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); https://doi.org/10.1117/12.255280

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