Image denoising by pointwise thresholding of the undecimated wavelet coefficients: A global sure optimum
2007
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.
Details
Title
Image denoising by pointwise thresholding of the undecimated wavelet coefficients: A global sure optimum
Author(s)
Luisier, Florian ; Blu, Thierry
Published in
2007 Ieee International Conference On Acoustics, Speech, And Signal Processing
Volume
1
Pages
593-596
Conference
32nd IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, HI, Apr 15-20, 2007
Date
2007
Publisher
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN
978-1-4244-0728-6
Other identifier(s)
View record in Web of Science
Laboratories
LIB
Record Appears in
Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LIB - Biomedical Imaging Group
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date
2012-07-04