Multiscale suboctave wavelet transform for denoising and enhancement

Andrew F. Laine; Xuli Zong

doi:10.1117/12.255235

23 October 1996 Multiscale suboctave wavelet transform for denoising and enhancement

Andrew F. Laine, Xuli Zong

Proceedings Volume 2825, Wavelet Applications in Signal and Image Processing IV; (1996) https://doi.org/10.1117/12.255235
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

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.

Citation Download Citation

Andrew F. Laine and Xuli Zong "Multiscale suboctave wavelet transform for denoising and enhancement", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); https://doi.org/10.1117/12.255235

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