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• W2060122833 abstract "This paper introduces an image denoising procedure based on a 2D scale-mixing complex-valued wavelet transform. Both the minimal (unitary) and redundant (maximum overlap) versions of the transform are used. The covariance structure of white noise in wavelet domain is established. Estimation is performed via empirical Bayesian techniques, including versions that preserve the phase of the complex-valued wavelet coefficients and those that do not. The new procedure exhibits excellent quantitative and visual performance, which is demonstrated by simulation on standard test images." @default.
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• W2060122833 date "2014-12-01" @default.
• W2060122833 modified "2023-09-27" @default.
• W2060122833 title "Image Denoising With 2D Scale-Mixing Complex Wavelet Transforms" @default.
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• W2060122833 doi "https://doi.org/10.1109/tip.2014.2362058" @default.
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