Sciweavers

477 search results - page 1 / 96
» Robust Image Denoising Using Kernel-Induced Measures
Sort
View
ICPR
2004
IEEE
14 years 6 months ago
Robust Image Denoising Using Kernel-Induced Measures
Keren Tan, Songcan Chen, Daoqiang Zhang
ICIP
1997
IEEE
14 years 6 months ago
Complexity-Regularized Image Denoising
We develop a new approach to image denoising based on complexity regularization. This technique presents a flexible alternative to the more conventional l2 , l1 , and Besov regula...
Juan Liu, Pierre Moulin
ICIP
2009
IEEE
13 years 2 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...
CVPR
2012
IEEE
11 years 7 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
ICIAR
2009
Springer
13 years 11 months ago
The Use of Residuals in Image Denoising
Abstract. State-of-the-art image denoising algorithms attempt to recover natural image signals from their noisy observations, such that the statistics of the denoised image follow ...
Dominique Brunet, Edward R. Vrscay, Zhou Wang