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PCM
2010
Springer
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13 years 8 months ago
Non-blind Image Deconvolution with Adaptive Regularization
Ringing and noise amplification are the most dominant artifacts in image deconvolution. These artifacts can be reduced by introducing image prior into the deconvolution process. A ...
Jong-Ho Lee, Yo-Sung Ho
TOG
2008
172views more  TOG 2008»
13 years 10 months ago
Progressive inter-scale and intra-scale non-blind image deconvolution
Ringing is the most disturbing artifact in the image deconvolution. In this paper, we present a progressive inter-scale and intra-scale non-blind image deconvolution approach that ...
Lu Yuan, Jian Sun, Long Quan, Heung-Yeung Shum
VISAPP
2007
14 years 1 days ago
Image deconvolution using a stochastic differential equation approach
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
Xavier Descombes, M. Lebellego, Elena Zhizhina
ICPR
2000
IEEE
14 years 12 months ago
Estimation of Adaptive Parameters for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
André Jalobeanu, Josiane Zerubia, Laure Bla...