Orthogonal and biorthogonal multiwavelets for signal denoising and image compression

Vasily Strela; Andrew T. Walden

doi:10.1117/12.304924

26 March 1998 Orthogonal and biorthogonal multiwavelets for signal denoising and image compression

Vasily Strela, Andrew T. Walden

Proceedings Volume 3391, Wavelet Applications V; (1998) https://doi.org/10.1117/12.304924
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper presents new vector filter banks, in particular biorthogonal Hermite cubic multiwavelets with short, smooth duals. We study different preprocessing techniques and the covariance structure of corresponding transforms. Results of numerical experiments in signal denoising and image compression using multi-filters are discussed.We compare the performance of several multi-filters with the performance of standard scalar wavelets such as Daubechies orthogonal external phase and least asymmetric ones and biorthogonal 9- 7 pair. Often multiwavelet scheme turn out to be better. We analyze these results.

Citation Download Citation

Vasily Strela and Andrew T. Walden "Orthogonal and biorthogonal multiwavelets for signal denoising and image compression", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304924

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