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《Journal of Optoelectronics.Laser》 2009-12
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A non-subsampled non-aliasing contourlet transform and the denoising algorithm with adaptive thresholding

MI De-ling1,FENG Peng1,2,WEI Biao1,LI Lei-lei1,PAN Ying-jun1(1.Key Laboratory of Opto-electronics Technology & System,Ministry of Education,Chongqing University,Chongqing 400044,China;2.Postdoctoral Research Station of Biomedical Engineering,Chongqing University,Chongqing 400044,China)  
Focused on the frequency aliasing and shift-variance of contourlet transform,a shift-invariant (non-subsampled) non-aliasing contourlet transform(NS-NACT) is proposed based on non-subsampled non-aliasing pyramidal filter banks(NS-NPFB) and undecimated directional filter banks(UDFB).Based on the NS-NACT,an adaptive-threshold denoising algorithm is designed.Experimental results show that this algorithm can raise the PSNR about 0.65 dB and 3.47 dB (when noise variance is 30),respectively,and effectively eliminate the Gibbs phenomena and maintain more detail of image compared with contourlet transform and undecimated wavelet transform.
【Fund】: 国家自然科学基金资助项目(60172074);; 重庆市自然科学基金资助项目(2009BB2188)
【CateGory Index】: TP391.41
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【Citations】
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【Co-citations】
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1 SONG Ya-jun,NI Guo-qiang,GAO Kun(Department of Optical Engineering,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China);Regional Energy Weighting Image Fusion Algorithm by Wavelet Based Contourlet Transform[J];Transactions of Beijing Institute of Technology;2008-02
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【Secondary Citations】
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