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- W1734311884 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." @default.
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- W1734311884 date "2007-03-10" @default.
- W1734311884 modified "2023-09-24" @default.
- W1734311884 title "Image denoising exploiting inter- and intra-scale dependency in complex wavelet domain" @default.
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