西华大学学报（自然科学版）2011，Vol.30Issue(6)：19-21,29,4.
基于非下采样contourlet变换的图像去噪方法
An Image Denoising Method Based on the Nonsubsampled Contourlet Transform
摘要
Abstract
Based on the multiscale, multidirection and shift invariance features of Nonsubsampled Contourlet transform (NSCT) , A new algorithm for image denoising based on NSCT is proposed. In this paper, first the image is decomposed in different scales and orientations using NSCT. Then the threshold is derived according to each layer decomposition coefficients, which is used in image denoising. Furthermore, the processed coefficients are inversely transformed to get the denoised image. Experimental results show that the proposed algorithm has the better ability of image sparse expression than that of other methods in wavelet transform (WT) or contourlet transform (CT). It can not only eliminate the pseudo-Gibbs phenomena and noise effectively, but also has good effect and higher values of peak signal-to-noise ratio (PSNR) , it preserves the detail and texture of original image perfectly as well.关键词
非下采样contourlet变换/contourlet变换/小波变换/图像去噪Key words
nonsubsampled contourlet transform/ contourlet transform/ wavelet transform/ image denoising分类
信息技术与安全科学引用本文复制引用
吴昌东..基于非下采样contourlet变换的图像去噪方法[J].西华大学学报（自然科学版）,2011,30(6):19-21,29,4.基金项目
四川省信号与信息处理重点实验室(SGXZD0101-10-1) （SGXZD0101-10-1）
