5.3.11 Bayesian Image Restoration

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

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

Hidalgo-Gavira, N., Mateos, J., Vega, M., Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Variational Bayesian Blind Color Deconvolution of Histopathological Images,
IP(29), 2020, pp. 2026-2036.
IEEE DOI 2001
BibRef
Earlier:
Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach,
ICIP18(983-987)
IEEE DOI 1809
Image color analysis, Deconvolution, Bayes methods, Manganese, Image segmentation, Solid modeling, Microscopy, variational Bayes. Brain modeling, Color, Optical imaging, Blind color deconvolution, variational Bayesian approach 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.
DOI Link 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

Jin, Q.Y.[Qi-Yu], Grama, I.[Ion], Kervrann, C.[Charles], Liu, Q.S.[Quan-Sheng],
Nonlocal Means and Optimal Weights for Noise Removal,
SIIMS(10), No. 4, 2017, pp. 1878-1920.
DOI Link 1801
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

Yasuda, M.[Muneki], Watanabe, J.[Junpei], Kataoka, S.[Shun], Tanaka, K.[Kazuyuki],
Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field,
IEICE(E101-D), No. 6, June 2018, pp. 1629-1639.
WWW Link. 1806
BibRef

Qin, L.[Le], Wang, Z.[Zhen], Guan, Q.J.[Qiu-Ju], Guo, X.M.[Xue-Mei], Wang, G.L.[Guo-Li],
Variational Bayesian image restoration with multi-structured model of wavelet transform coefficients,
SP:IC(72), 2019, pp. 1-8.
Elsevier DOI 1902
Bayesian compressive sensing, Wavelet-tree structure, Multi-structure model, Variational Bayes inference BibRef

Zhao, R., Wang, Q., Fu, J., Ren, L.,
Exploiting Block-Sparsity for Hyperspectral Kronecker Compressive Sensing: A Tensor-Based Bayesian Method,
IP(29), 2020, pp. 1654-1668.
IEEE DOI 1911
Bayes methods, Image reconstruction, Hyperspectral imaging, Sensors, Image coding, Compressive sensing, hyperspectral image, block-sparse BibRef

Xiao, J.[Jun], Zhao, R.[Rui], Lam, K.M.[Kin-Man],
Bayesian sparse hierarchical model for image denoising,
SP:IC(96), 2021, pp. 116299.
Elsevier DOI 2106
Image denoising, Sparse model, Bayesian hierarchical prior BibRef

Laumont, R.[Remi], de Bortoli, V.[Valentin], Almansa, A.[Andres], Delon, J.[Julie], Durmus, A.[Alain], Pereyra, M.[Marcelo],
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie,
SIIMS(15), No. 2, 2022, pp. 701-737.
DOI Link 2206
Problems such as image deblurring and inpainting. BibRef

Bishop, C., Winn, J.,
Non-Linear Bayesian Image Modelling,
ECCV00(I: 3-17).
Springer DOI 0003
Award, ECCV. 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
Block Matching 3-D Denoising, BM3D .