Local adaptive shrinkage threshold denoising using curvelet coefficients

A new local adaptive shrinkage denoising approach based on neighbourhood windows and the scale of curvelet coefficients is presented. Mean filtering and median filtering according to the local characteristic of curvelet coefficients and noise level define the threshold function. The experimental res...

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Veröffentlicht in:	Electronics letters 2008-02, Vol.44 (4), p.1-1
Hauptverfasser:	Bao, Q Z, Gao, J H, Chen, W C
Format:	Artikel
Sprache:	eng
Schlagworte:	Filtering Filtration Noise levels Noise reduction Shrinkage Thresholds
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description	A new local adaptive shrinkage denoising approach based on neighbourhood windows and the scale of curvelet coefficients is presented. Mean filtering and median filtering according to the local characteristic of curvelet coefficients and noise level define the threshold function. The experimental results show that the proposed method outperforms the exiting curvelet shrinkage threshold method.
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source	Alma/SFX Local Collection
subjects	Filtering Filtration Noise levels Noise reduction Shrinkage Thresholds
title	Local adaptive shrinkage threshold denoising using curvelet coefficients
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