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Multiscale sub-octave wavelet transform for de-noising and enhancement

Laine, Andrew F.; Zong, Xuli

This paper describes an approach for accomplishing sub- octave wavelet analysis and its discrete implementation for noise reduction and feature enhancement. Sub-octave wavelet transforms allow us to more closely characterize features within distinct frequency bands. By dividing each octave into sub-octave components, we demonstrate a superior ability to capture transient activities in a signal or image more reliably. De-noising and enhancement are accomplished through techniques of minimizing noise energy and nonlinear processing of transform coefficient energy by gain.

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Title
Wavelet applications in signal and image processing IV : 6-9 August, 1996, Denver, Colorado ; Proceedings of SPIE, vol. 2825
DOI
https://doi.org/10.1117/12.255235

More About This Work

Academic Units
Biomedical Engineering
Publisher
SPIE
Published Here
August 25, 2010
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