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» A Markov Random Field Model for Medical Image Denoising
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ICASSP
2007
IEEE
15 years 3 months ago
Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
Jue Wu, Albert C. S. Chung
72
Voted
ICIP
2000
IEEE
15 years 11 months ago
A Wavelet-Based Image Denoising Technique Using Spatial Priors
We propose a new wavelet-based method for im age denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Loc...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
CVPR
2005
IEEE
15 years 11 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
ENGL
2007
107views more  ENGL 2007»
14 years 9 months ago
Pixel Fusion Based Curvelets and Wavelets Denoise Algorithm
—Curvelets denoise approach has been widely used in many fields for its ability to obtain high quality result images. However artifacts those appear in the result images of curve...
Liyong Ma, Jiachen Ma, Yi Shen
TIP
2002
133views more  TIP 2002»
14 years 9 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...