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- W2145984041 abstract "We devise a new undecimated wavelet thresholding for denoising images corrupted by additive Gaussian white noise. The first key point of our approach is the use of a linearly parameterized pointwise thresholding function. The second key point consists in optimizing the parameters globally by minimizing Stein's unbiased MSE estimate (SURE) directly in the image-domain, and not separately in the wavelet subbands. Amazingly, our method gives similar results to the best state-of-the-art algorithms, despite using only a simple pointwise thresholding function; we demonstrate it in simulations over a wide range of noise levels for a representative set of standard grayscale images." @default.
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- W2145984041 date "2007-04-01" @default.
- W2145984041 modified "2023-10-16" @default.
- W2145984041 title "Image Denoising by Pointwise Thresholding of the Undecimated Wavelet Coefficients: A Global Sure Optimum" @default.
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- W2145984041 doi "https://doi.org/10.1109/icassp.2007.365977" @default.
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