A Novel Nonlinear Method for Image Enhancement Based on Nonsubsampled Contourlet Transform

Zhang Lin; Zhu Zhao-da

doi:10.3724/SP.J.1146.2008.01025

Volume 31 Issue 8

Dec. 2010

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Zhang Lin, Zhu Zhao-da. A Novel Nonlinear Method for Image Enhancement Based on Nonsubsampled Contourlet Transform[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1786-1790. doi: 10.3724/SP.J.1146.2008.01025

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Zhang Lin, Zhu Zhao-da. A Novel Nonlinear Method for Image Enhancement Based on Nonsubsampled Contourlet Transform[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1786-1790. doi: 10.3724/SP.J.1146.2008.01025

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A Novel Nonlinear Method for Image Enhancement Based on Nonsubsampled Contourlet Transform

doi: 10.3724/SP.J.1146.2008.01025

Received Date: 2008-08-26
Rev Recd Date: 2009-03-05
Publish Date: 2009-08-19

Abstract

Abstract

To overcome the limitation of traditional image denoising algorithms, a Novel Nonlinear Image Enhancement Method based on NonSubsampled Contourlet Tansform (NNIEM-NSCT) is proposed in this paper. The method not only preserves the details of image edge but also suppresses the noise by means of an adaptive Bayes shrinkage threshold which takes advantages of the relationship across all subbands in the same level. Secondly, a nonlinear enhancement mapping function is constructed by modifying the NSCT coefficients to change the image enhancement of weak and strong edges efficiently. Experimental results show that the proposed method outperforms the NSCT-based method. The Detail Variance (DV) of proposed method improves about two times more than that of NSCT-based method, when the Background Variance (BV) is almost equal, and a better visual effect is gotten.

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References(1)

References

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