Image denoising by pointwise thresholding of the undecimated wavelet coefficients: A global sure optimum
Journal
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Journal Volume
1
ISBN
1424407281
Date Issued
2007-08-06
Author(s)
Luisier, Florian
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. © 2007 IEEE.
Subjects
Image denoising | SURE minimization | Undecimated wavelet thresholding
Type
conference paper