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Improved preprocessed Yaroslavsky filter based on shearlet features
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作者 吴一全 戴一冕 吴健生 《Journal of Beijing Institute of Technology》 EI CAS 2016年第1期135-144,共10页
An improved preprocessed Yaroslavsky filter(IPYF)is proposed to avoid the nick effects and obtain a better denoising result when the noise variance is unknown.Different from its predecessors,the similarity between t... An improved preprocessed Yaroslavsky filter(IPYF)is proposed to avoid the nick effects and obtain a better denoising result when the noise variance is unknown.Different from its predecessors,the similarity between two pixels is calculated by shearlet features.The feature vector consists of initial denoised results by the non-subsampled shearlet transform hard thresholding(NSST-HT)and NSST coefficients,which can help allocate the averaging weights more reasonably.With the correct estimated noise variance,the NSST-HT can provide good denoised results as the initial estimation and high-frequency coefficients contribute large weights to preserve textures.In case of the incorrect estimated noise variance,the low-frequency coefficients will mitigate the nick effect in cartoon regions greatly,making the IPYF more robust than the original PYF.Detailed experimental results show that the IPYF is a very competitive method based on a comprehensive consideration involving peak signal to noise ratio(PSNR),computing time,visual quality and method noise. 展开更多
关键词 image processing image denoising preprocessed Yaroslavsky filter shearlet features nick effect
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