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» A variational method for Bayesian blind image deconvolution
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ECCV
2004
Springer
15 years 24 days ago
A l1-Unified Variational Framework for Image Restoration
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
Julien Bect, Laure Blanc-Féraud, Gilles Aub...
ICIP
2007
IEEE
15 years 18 days ago
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation
In this paper we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. By following...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
PAMI
1998
112views more  PAMI 1998»
13 years 10 months ago
Degraded Image Analysis: An Invariant Approach
—Analysis and interpretation of an image which was acquired by a nonideal imaging system is the key problem in many application areas. The observed image is usually corrupted by ...
Jan Flusser, Tomás Suk
CVPR
2012
IEEE
12 years 1 months ago
Nonlinear camera response functions and image deblurring
This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. In particular, we show how nonlinear CRFs can cause a spatially invarian...
Sunyeong Kim, Yu-Wing Tai, Seon Joo Kim, Michael S...
ICASSP
2010
IEEE
13 years 11 months ago
Fast total variation image restoration with parameter estimation using bayesian inference
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and ...
Bruno Amizic, S. Derin Babacan, K. Michael Ng, Raf...