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  • Received: May. 26, 2006

    Accepted: --

    Posted: Mar. 12, 2007

    Published Online: Mar. 12, 2007

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    [in Chinese], [in Chinese]. Image denoising exploiting inter- and intra-scale dependency in complex wavelet domain[J]. Chinese Optics Letters, 2007, 5(3): 156

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Chinese Optics Letters, Vol. 5, Issue 3, 156 (2007)

Image denoising exploiting inter- and intra-scale dependency in complex wavelet domain

[in Chinese]1,2and [in Chinese]1

Author Affiliations

  • 1School of Science, National University of Defense Technology, Changsha 410073
  • 2Institute of Automation, Chinese Academy of Sciences, Beijing 100080

Abstract

A new locally adaptive image denoising method, which exploits the intra-scale and inter-scale dependency in the dual-tree complex wavelet domain, is presented. Firstly, a recently emerged bivariate shrinkage rule is extended to a complex coefficient and its neighborhood, the corresponding nonlinear threshold functions are derived from the models using Bayesian estimation theory. Secondly, an adaptive weight, which is able to capture the inter-scale dependency of the complex wavelet coefficients, is combined to the obtained bishrink threshold. The experimental results demonstrate an improved denoising performance over related earlier techniques both in peak signal-to-noise ratio (PSNR) and visual effect.

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