34 search results - page 5 / 7 » Fast Non-Local Algorithm for Image Denoising |
ICIP
2009
IEEE
13 years 4 months ago
2009
IEEE
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
TIP
2010
13 years 1 months ago
2010
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...
ICIP
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a framework for image enhancement, which smooths images while preserving edge information. Domain (spatial) and range (feature) information are combined in one single...