메뉴 건너뛰기




Volumn 37, Issue 3, 2000, Pages 275-293

Cumulant expansion technique for simultaneous Markov random Field image restoration and hyperparameter estimation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; IMAGE ANALYSIS; IMAGE QUALITY; MARKOV PROCESSES; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; SIMULATED ANNEALING;

EID: 0034206629     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008136208859     Document Type: Article
Times cited : (3)

References (30)
  • 1
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • Besag, J. 1974. Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society, B-36:192-236.
    • (1974) Journal of the Royal Statistical Society , vol.B-36 , pp. 192-236
    • Besag, J.1
  • 2
    • 0027624429 scopus 로고
    • A generalized gaussian image model for edge-preserving map estimation
    • Bouman, C. and Sauer, K. 1993. A generalized gaussian image model for edge-preserving map estimation. IEEE Transactions on Image Processing, 2(3):296-310.
    • (1993) IEEE Transactions on Image Processing , vol.2 , Issue.3 , pp. 296-310
    • Bouman, C.1    Sauer, K.2
  • 3
    • 0029185336 scopus 로고
    • Asymptotic performance analysis of direction finding algorithms based on fourth-order cumulants
    • Cardoso, J.-F. and Moulines, É. 1995. Asymptotic performance analysis of direction finding algorithms based on fourth-order cumulants. IEEE Transactions on Signal Processing, 43(1): 214-224.
    • (1995) IEEE Transactions on Signal Processing , vol.43 , Issue.1 , pp. 214-224
    • Cardoso, J.-F.1    Moulines, É.2
  • 5
    • 0032687294 scopus 로고    scopus 로고
    • Estimation of Markov random field prior parameters using Markov chain Monte Carlo likelihood
    • Descombes, X., Morris, R., Zerubia, J., and Berthod, M. 1999. Estimation of Markov random field prior parameters using Markov chain Monte Carlo likelihood. IEEE Transactions on Image Processing, 8(7):954-963.
    • (1999) IEEE Transactions on Image Processing , vol.8 , Issue.7 , pp. 954-963
    • Descombes, X.1    Morris, R.2    Zerubia, J.3    Berthod, M.4
  • 6
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distribution, and the bayesian restoration of images
    • Geman, S. and Geman, D. 1984. Stochastic relaxation, Gibbs distribution, and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(6): 721-741.
    • (1984) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 8
    • 0002030206 scopus 로고
    • Bayesian image analysis: An application to single photon emission tomography
    • Geman, S. and McClure, D.E. 1985. Bayesian image analysis: An application to single photon emission tomography. In Proc. Stat. Comput. Sect. Amer. Stat. Assoc., pp. 13-18.
    • (1985) Proc. Stat. Comput. Sect. Amer. Stat. Assoc. , pp. 13-18
    • Geman, S.1    McClure, D.E.2
  • 10
    • 0000051109 scopus 로고
    • Constrained Monte Carlo maximum likelihood for dependant data
    • Geyer, C. and Thomson, E. 1992. Constrained Monte Carlo maximum likelihood for dependant data. Journal of the Royal Statistical Society B, 54(3):657-699.
    • (1992) Journal of the Royal Statistical Society b , vol.54 , Issue.3 , pp. 657-699
    • Geyer, C.1    Thomson, E.2
  • 12
    • 0343651520 scopus 로고    scopus 로고
    • Gibbs fields with multiple pairwise pixel interactions for texture simulation and segmentation
    • Gimel'farb, G.L. 1997. Gibbs fields with multiple pairwise pixel interactions for texture simulation and segmentation. INRIA Research Report N. 3202.
    • (1997) INRIA Research Report N. 3202
    • GimeL'farb, G.L.1
  • 15
    • 0024715149 scopus 로고
    • Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing
    • Lakshmanan, S. and Derin, H. 1989. Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(8):799-813.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.8 , pp. 799-813
    • Lakshmanan, S.1    Derin, H.2
  • 16
  • 18
    • 0027591549 scopus 로고
    • SEM algorithm and unsupervised statistical segmentation of satellite images
    • Masson, P. and Pieczynski, W. 1993. SEM algorithm and unsupervised statistical segmentation of satellite images. IEEE Transactions on Geoscience and Remote Sensing, 34(3):618-633.
    • (1993) IEEE Transactions on Geoscience and Remote Sensing , vol.34 , Issue.3 , pp. 618-633
    • Masson, P.1    Pieczynski, W.2
  • 19
    • 0013198589 scopus 로고
    • Théorèmes de convergence presque sûre pour une classe d'algorithmes stochastiques à pas décroissant
    • Métivier, M. and Priouret, P. 1987. Théorèmes de convergence presque sûre pour une classe d'algorithmes stochastiques à pas décroissant. Probability Theory and Related Fields, 74:403-428.
    • (1987) Probability Theory and Related Fields , vol.74 , pp. 403-428
    • Métivier, M.1    Priouret, P.2
  • 21
    • 33750918341 scopus 로고    scopus 로고
    • Local strong homogeneity of a regularized estimation
    • To appear
    • Nikolova, M. To appear. Local strong homogeneity of a regularized estimation. Siam Journal of Applied Mathematics (1999).
    • (1999) Siam Journal of Applied Mathematics
    • Nikolova, M.1
  • 22
    • 0343215891 scopus 로고    scopus 로고
    • Adaptive parameter estimation and unsupervised image segmentation
    • Quelle, H.C., Boucher, J.M., and Pieczynski, W. 1996. Adaptive parameter estimation and unsupervised image segmentation. Machine Graphics and Vision, 5(4):613-631.
    • (1996) Machine Graphics and Vision , vol.5 , Issue.4 , pp. 613-631
    • Quelle, H.C.1    Boucher, J.M.2    Pieczynski, W.3
  • 24
    • 0032123237 scopus 로고    scopus 로고
    • ML parameter estimation for Markov random fields with applications to bayesian tomography
    • Saquib, S., Bouman, C., and Sauer, K. 1998. ML parameter estimation for Markov random fields with applications to bayesian tomography. IEEE Transactions on Image Processing, 7(7):1029-1044.
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.7 , pp. 1029-1044
    • Saquib, S.1    Bouman, C.2    Sauer, K.3
  • 25
    • 0000490897 scopus 로고
    • Estimation and annealing for gibbsian fields
    • Younes, L. 1988. Estimation and annealing for gibbsian fields. A. Inst Henri Poincaré, 24(2):269-294.
    • (1988) A. Inst Henri Poincaré , vol.24 , Issue.2 , pp. 269-294
    • Younes, L.1
  • 26
    • 0000355193 scopus 로고
    • Parametric inference for imperfectly observed gibbsian fields
    • Younes, L. 1989. Parametric inference for imperfectly observed gibbsian fields. Probability Theory and Related Fields, 82:625-645.
    • (1989) Probability Theory and Related Fields , vol.82 , pp. 625-645
    • Younes, L.1
  • 27
    • 0342781373 scopus 로고
    • Parameter estimation for imperfectly observed Gibbs fields and some comments on Chalmond's EM gibbsian algorithm
    • In Stochastic Models, Statistical Methods and Algorithms in Image Analysis, P. Barone and A. Frigessi (Eds.), Springer
    • Younes, L. 1991. Parameter estimation for imperfectly observed Gibbs fields and some comments on Chalmond's EM gibbsian algorithm. In Stochastic Models, Statistical Methods and Algorithms in Image Analysis, P. Barone and A. Frigessi (Eds.), Springer, Lecture Notes in Statistics.
    • (1991) Lecture Notes in Statistics
    • Younes, L.1
  • 28
    • 0342346288 scopus 로고
    • On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates
    • Ecole Normale Supérieure Cachan
    • Younes, L. 1995. On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates. Technical Report, Ecole Normale Supérieure Cachan.
    • (1995) Technical Report
    • Younes, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.