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Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 5,
  • Issue 3,
  • pp. 156-159
  • (2007)

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

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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.

© 2007 Chinese Optics Letters

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