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光子学报  2005 

An Improved Joint Scheme for Image Denoising
一种改进的图像组合滤波方法

Keywords: Wavelet thresholding denoising,BayesShrink,Spatially adaptive filtering,Pre-denoised image,Noise variance
小波阈值去噪
,BayesShrink,空域自适应滤波,预去噪图像,噪声方差

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Abstract:

On the basis of the combined method presented in Reference7],an improvement was implemented by exploiting the characteristics of both wavelet thresholding denoising and spatial Wiener filtering.After BayesShrink thresholding denoising in wavelet domain to obtain a pre-denoised image,the noise variance was estimated for the following Lee filtering.The optimal noise variance estimation for Lee filter was given by numerical computation.Experiment results show the improvement of the proposed approach in terms of MSE,signal-to-noise ratio (SNR),as well as adaptability to different images.

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