IEEE Trans Image Process - Image denoising with 2D scale-mixing complex wavelet transforms.

Tópicos

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Resumo

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.

Resumo Limpo

paper introduc imag denois procedur base d scalemix complexvalu wavelet transform minim unitari redund maximum overlap version transform use covari structur white nois wavelet domain establish estim perform via empir bayesian techniqu includ version preserv phase complexvalu wavelet coeffici new procedur exhibit excel quantit visual perform demonstr simul standard test imag

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