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» Bayesian Restoration of Noisy Images with the EM Algorithm
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CVPR
2006
IEEE
14 years 9 months ago
Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach
This paper addresses the problem of reconstructing the density of a scene from multiple projection images produced by modalities such as x-ray, electron microscopy, etc. where an ...
Satya P. Mallick, Sameer Agarwal, David J. Kriegma...
PAMI
2012
11 years 9 months ago
Image Restoration by Matching Gradient Distributions
—The restoration of a blurry or noisy image is commonly performed with a MAP estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image...
Taeg Sang Cho, Charles Lawrence Zitnick, Neel Josh...
ICIP
1997
IEEE
14 years 9 months ago
Image Coupling, Restoration and Enhancement via PDE's
We present a new approach based on Partial Differential Equations (PDE) to restore noisy blurred images. After studying the methods to denoise images, staying as close as possible...
Pierre Kornprobst, Rachid Deriche, Gilles Aubert
CVPR
2007
IEEE
14 years 9 months ago
Variational Distance-Dependent Image Restoration
There is a need to restore color images that suffer from distance-dependent degradation during acquisition. This occurs, for example, when imaging through scattering media. There,...
Ran Kaftory, Yoav Y. Schechner, Yehoshua Y. Zeevi
TIP
2008
139views more  TIP 2008»
13 years 7 months ago
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
In this paper, we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. Within the h...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...