Image denoising by pointwise thresholding of the undecimated wavelet coefficients: A global sure optimum

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.


Published in:
2007 Ieee International Conference On Acoustics, Speech, And Signal Processing, Vol I, Pts 1-3, Proceedings, 593-596
Presented at:
32nd IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, HI, Apr 15-20, 2007
Year:
2007
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-0728-6
Keywords:
Laboratories:




 Record created 2012-07-04, last modified 2018-09-13

External links:
Download fulltextURL
Download fulltextURL
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)