Wavelet and multirate denoising for signal-dependent noise

被引：0

作者：

Aiazzi, B ^{[1
]}

Alparone, L ^{[1
]}

Baronti, S ^{[1
]}

Garzelli, A ^{[1
]}

机构：

[1] CNR, IROE, Nello Carrara Res Inst Electromagnet Waves, I-50127 Florence, Italy

来源：

WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING VIII PTS 1 AND 2 | 2000年 / 4119卷

关键词：

film-grain noise; generalized rational Laplacian pyramid; local statistics filtering; LLMMSE filtering; signal-dependent noise; speckle; transform domain denoising; wavelet thresholding;

D O I：

10.1117/12.408674

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, after reviewing a general model to deal with signal-dependent image noise, the well known Local Linear Minimum Mean Squared Error (LLMMSE) filter is derived for the most general case. Signal-dependent noise filtering is approached in a multiresolution framework either by LLMMSE processing ratios of combinations of lowpass images, which are tailored to the noise model in order to mitigate its signal-dependence, or by thresholding a normalized nonredundant wavelet transform designed to yield signal-independent noisy coefficients as well. Experimental results demonstrate that the Laplacian pyramid approach largely outperform LLMMSE filtering on a unique scale and is still superior to wavelet denoising by soft-thresholding.

引用

页码：843 / 852

页数：10

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