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» Fractal-wavelet image denoising
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ICCV
2007
IEEE
14 years 11 months ago
Steerable Random Fields
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
Stefan Roth, Michael J. Black
ICPR
2010
IEEE
14 years 1 months ago
Improving Undersampled MRI Reconstruction Using Non-Local Means
Obtaining high quality images in MR is desirable not only for accurate visual assessment but also for automatic processing to extract clinically relevant parameters. Filtering-bas...
Ganesh Adluru, Tolga Tasdizen, Ross Whitaker, Edwa...
CVPR
2012
IEEE
12 years 7 days ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
CVPR
2007
IEEE
14 years 12 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
ISBI
2008
IEEE
14 years 10 months ago
Fast nonlocal filtering applied to electron cryomicroscopy
We present an efficient algorithm for nonlocal image filtering with applications in electron cryomicroscopy. Our denoising algorithm is a rewriting of the recently proposed nonloc...
Alexandre Cunha, Grant J. Jensen, Jérô...