Luisier, FlorianFlorianLuisierTHIERRY BLU2024-03-082024-03-082007-08-06142440728115206149https://scholars.lib.ntu.edu.tw/handle/123456789/640600We 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. © 2007 IEEE.Image denoising | SURE minimization | Undecimated wavelet thresholdingconference paper10.1109/ICASSP.2007.3659772-s2.0-34547535700https://api.elsevier.com/content/abstract/scopus_id/34547535700