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《Optical Technique》 2008-06
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Wavelet-based Contourlet transform for image de-noising using cycle spinning

REN Hong-e WANG Hai-feng ZHAO Peng (Information and Computer Engineering College, Northeast Forestry University, Harbin 150040,China)  
Due to the characteristics of the wavelet transform,the good approximation of the Contourlet transform to the 2D smooth image and the ability of the better"sparse"expression of curve,a new scheme for image de-noising based on the wavelet-based contourlet transform is proposed.It uses cycle spinning to dislodge the Gibbs-like phenomenon which is caused by the translation variability of the wavelet transform in the image.Experimental results indicate that compared to the de-noising schemes of cycle spinning-based the wavelet and the contourlet transforms,this scheme's PSNR increase about 0.4~1.6 and 0.2~1.0 resectively.Compared to other de-noising schemes,this scheme can eliminate the noise in images more effectively, which has much larger values of PSNR and tan preserve the detail and the texture of the image more perfectly.
【Fund】: 国家自然科学基金资助项目(30571455);; 黑龙江省科技攻关资助项目(GC05A504);; 国家948计划资助项目(2005-4-62)
【CateGory Index】: TP391.41
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