5.3.11 Bayesian Image Restoration

Chapter Contents (Back)
Bayes Restoration. Bayes Nets.

Hunt, B.R.,
Bayesian Methods in Nonlinear Digital Image Restoration,
TC(26), No. 3, March 1977, pp. 219-229. BibRef 7703

Richardson, W.H.,
Bayesian-Based Iterative Method of Image Restoration,
JOSA(62), No. 1, January 1972, pp. 55-59. See also iterative technique for the rectification of observed distributions, An. BibRef 7201

Yuille, A.L., Vincent, L., Geiger, D.,
Statistical Morphology and Bayesian Reconstruction,
JMIV(1), 1992, pp. 223-238. BibRef 9200

Molina, R.,
On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images,
PAMI(16), No. 11, November 1994, pp. 1122-1128.
IEEE DOI Application, Astronomy. BibRef 9411

Molina, R., Mateos, J., Abad, J., de la Blanca, N.P., Molina, A., Moreno, F.,
Bayesian Image Restoration in Astronomy: Application to Images of the Recent Collision of Comet Shoemaker-Levy-9 with Jupiter,
IJIST(6), No. 4, Winter 1995, pp. 370-375. BibRef 9500

Molina, R., Katsaggelos, A.K., Mateos, J.,
Bayesian and Regularization Methods for Hyperparameter Estimation in Image Restoration,
IP(8), No. 2, February 1999, pp. 231-246.
IEEE DOI BibRef 9902

Mateos, J., Katsaggelos, A.K., Molina, R.,
A Bayesian Approach for the Estimation and Transmission of Regularization Parameters for Reducing Blocking Artifacts,
IP(9), No. 7, July 2000, pp. 1200-1215.
IEEE DOI 0006
BibRef

Mateos, J., Ilia, C., Jimenez, B., Molina, R., Katsaggelos, A.K.,
Reduction of blocking artifacts in block transformed compressed color images,
ICIP98(I: 401-405).
IEEE DOI 9810
BibRef

Molina, R., Mateos, J., Katsaggelos, A.K.,
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation,
IP(15), No. 12, December 2006, pp. 3715-3727.
IEEE DOI 0611
See also Bayesian multichannel image restoration using compound Gauss-Markov random fields. See also Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. BibRef

Babacan, S.D.[S. Derin], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Variational Bayesian Blind Deconvolution Using a Total Variation Prior,
IP(18), No. 1, January 2009, pp. 12-26.
IEEE DOI 0812
See also Bayesian Compressive Sensing Using Laplace Priors. See also Bayesian Blind Deconvolution From Differently Exposed Image Pairs. BibRef

Amizic, B., Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Sparse Bayesian blind image deconvolution with parameter estimation,
JIVP(2012), No. 1 2012, pp. 20.
DOI Link 1211
BibRef

Chen, Z., Babacan, S.D.[S. Derin], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Variational Bayesian Methods For Multimedia Problems,
MultMed(16), No. 4, June 2014, pp. 1000-1017.
IEEE DOI 1407
Approximation methods BibRef

Babacan, S.D.[S. Derin], Molina, R.[Rafael], Do, M.N.[Minh N.], Katsaggelos, A.K.[Aggelos K.],
Bayesian Blind Deconvolution with General Sparse Image Priors,
ECCV12(VI: 341-355).
Springer DOI 1210
See also Bayesian Compressive Sensing Using Laplace Priors. See also Bayesian Blind Deconvolution From Differently Exposed Image Pairs. BibRef

Babacan, S.D.[S. Derin], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Sparse Bayesian image restoration,
ICIP10(3577-3580).
IEEE DOI 1009
BibRef

Sebastiani, G., Godtliebsen, F.,
On the Use of Gibbs Priors for Bayesian Image Restoration,
SP(56), No. 1, January 1997, pp. 111-118. 9704
BibRef

Chan, M.T.[Michael T.], Herman, G.T.[Gabor T.], Levitan, E.[Emanuel],
Bayesian Image-Reconstruction Using Image-Modeling Gibbs Priors,
IJIST(9), No. 2-3, 1998, pp. 85-98. 9805
BibRef
Earlier:
Bayesian image reconstruction using a high-order interacting MRF model,
CIAP95(608-614).
Springer DOI 9509
BibRef

Li, S.Z.,
MAP Image Restoration and Segmentation by Constrained Optimization,
IP(7), No. 12, December 1998, pp. 1730-1735.
IEEE DOI 9812
BibRef

Li, S.Z., Chan, K.L., and Wang, H.,
Bayesian Image Restoration and Segmentation by Constrained Optimization,
CVPR96(1-6).
IEEE DOI BibRef 9600

Descombes, X.[Xavier], Kruggel, F.[Frithjof],
A Markov Pixon Information Approach for Low-Level Image Description,
PAMI(21), No. 6, June 1999, pp. 482-494.
IEEE DOI Pixon: Pixel information. Simultaneous restoration and segmentation. BibRef 9906

Baskaran, S.[Shyamsunder], Millane, R.P.,
Model Bias in Bayesian Image Reconstruction from X-Ray Fiber Diffracton Data,
JOSA-A(16), No. 2, February 1999, pp. 236-245. BibRef 9902

Baskaran, S., Millane, R.P.,
Bayesian Image Reconstruction from Partial Image and Aliased Spectral Intensity Data,
IP(8), No. 10, October 1999, pp. 1420-1434.
IEEE DOI BibRef 9910

Pieczynski, W.[Wojciech],
Pairwise Markov Chains,
PAMI(25), No. 5, May 2003, pp. 634-639.
IEEE Abstract. 0304
In PMC the hidden process is not necessarily a Markov process. See also Estimation of Generalized Mixtures and Its Application in Image Segmentation. BibRef

Chantas, G.K., Galatsanos, N.P., Likas, A.C.,
Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior,
IP(15), No. 10, October 2006, pp. 2987-2997.
IEEE DOI 0609
BibRef
Earlier:
Maximum a Posteriori Image Restoration Based on a New Directional Continuous Edge Image Prior,
ICIP05(I: 941-944).
IEEE DOI 0512
BibRef
Earlier:
Non stationary Bayesian image restoration,
ICPR04(IV: 689-692).
IEEE DOI 0409
BibRef

Chantas, G.K., Galatsanos, N.P., Likas, A.C., Saunders, M.,
Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior,
IP(17), No. 10, October 2008, pp. 1795-1805.
IEEE DOI 0809
BibRef

Ayasso, H.[Hacheme], Mohammad-Djafari, A.[Ali],
Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation,
IP(19), No. 9, September 2010, pp. 2265-2277.
IEEE DOI 1008
BibRef
Earlier:
Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation,
ICIP09(1297-1300).
IEEE DOI 0911
BibRef

Mohammad-Djafari, A.[Ali],
Joint Estimation of Parameters and Hyper-Parameters in a Bayesian Approach of Solving Inverse Problems,
ICIP96(II: 473-476).
IEEE DOI BibRef 9600

Jung, C., Jiao, L.C., Gong, M.G.,
Bayesian image denoising using two complementary discontinuity measures,
IET-IPR(6), No. 7, 2012, pp. 932-942.
DOI Link 1211
BibRef


Kervrann, C.[Charles], Roudot, P.[Philippe], Waharte, F.[Francois],
Approximate Bayesian computation, stochastic algorithms and non-local means for complex noise models,
ICIP14(2834-2838)
IEEE DOI 1502
Bayes methods BibRef

Li, X.[Xin],
Variational Bayesian image processing on stochastic factor graphs,
ICIP08(1748-1751).
IEEE DOI 0810
BibRef

Bishop, C., Winn, J.,
Non-Linear Bayesian Image Modelling,
ECCV00(I: 3-17).
Springer DOI 0003
BibRef

Kauthold, J., Karl, W.C., Castanon, D.A.,
A nested recursive approach to MAP estimation based on Gauss-Markov random fields,
ICIP98(II: 98-102).
IEEE DOI 9810
BibRef

Saeed, M., Rabiee, H.R., Karl, W.C., and Nguyen, T.,
Bayesian Restoration of Noisy Images with the EM Algorithm,
ICIP97(II: 322-325).
IEEE DOI BibRef 9700

Saquib, S.S.[Suhail S.], Bouman, C.A.[Charles A.], Sauer, K.[Ken],
A Non-Homogeneous MRF Model for Multi-Resolution Bayesian Estimation,
ICIP96(II: 445-448).
IEEE DOI BibRef 9600

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Restoration by Deconvolution, Blind Deconvolution .


Last update:Nov 18, 2017 at 20:56:18