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基于非抽样Contourlet变换的图像增强

Image Enhancement Based on Non-sampling Contourlet Transformation
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摘要 以非下采样(Contourlet)变换为基础,提出了一种新的图像去噪方法,首先对含噪图像进行非下采样轮廓变换,然后采用自适应阈值对变换系数进行处理,最后重构回原图像。 Based on the non-sampling (under) eontourlet transformation, this paper proposes a new image denoising method. At first it makes non-sampling contourlet transformation for the noise image, and then uses self-adaptive threshold to process the transform coefficient, finally back to the original image reconstruction.
作者 罗红艳
出处 《山西电子技术》 2011年第4期49-50,共2页 Shanxi Electronic Technology
关键词 非下采样 图像去噪 自适应阈值 NSCT image denoising adaptive threshold
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参考文献5

  • 1Donoho D L. De-noising by Soft-thresholding [ J ]. IEEE Trans. on Inform. Theory,1995,41 (3) :613 -627.
  • 2Do M N, Vetterli M. The Contourlet Transform:Anefficient Directional Muhiresolution Image Representation [ J ]. IEEE Trans. on In,age Processing,2005,14(12) :2091-2106.
  • 3Cunha A L, Zhou J, Do M N. The Nonsubsampled Contourlet Transform: Theory, Design and Applications [ J ]. IEEE Trans. on Image Processing,2006,15 (10) :3089 - 3101.
  • 4Do M N. Contourlet Toolbox[ OL]. http://www, ifp. uiuc. edu/- minhdo/software/. 2007, 10.
  • 5Sendur L, Selesnick I W. Bivariate Shrinkage Functions for Wavelet-based Denoising Exploiting Interscale Dependency [ J ]. IEEE Trans. on Signal Proo. , 2002,50 ( 11 ) :2744 -2756.

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