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Volumn 14, Issue 3, 1992, Pages 367-383

Constrained Restoration and the Recovery of Discontinuities

Author keywords

Concave stabilizers discontinuity recovery dual ; energy higher order constraints image deblurring model validation nonlinear restoration parameter selection

Indexed keywords

MATHEMATICAL TECHNIQUES--NUMERICAL METHODS;

EID: 0026835074     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.120331     Document Type: Article
Times cited : (896)

References (30)
  • 1
    • 0004180261 scopus 로고
    • Digital Image Restoration
    • Englewood Cliffs NJ: Prentice-Hall
    • H. C. andrews and B. R. Hunt, Digital Image Restoration. Englewood Cliffs NJ: Prentice-Hall, 1977.
    • (1977)
    • Andrews, H.C.1    Hunt, B.R.2
  • 2
    • 0042439585 scopus 로고
    • Regularization methods for linear inverse problems
    • Inverse Problems (G. Taleuti, Ed.). Berlin: Springer-Verlag
    • M. Bertero, “Regularization methods for linear inverse problems,” in Lecture Notes in Mathematics, vol. 1225, Inverse Problems (G. Taleuti, Ed.). Berlin: Springer-Verlag, 1986, pp. 52–112.
    • (1986) Lecture Notes in Mathematics , vol.1225 , pp. 52-112
    • Bertero, M.1
  • 3
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag, “On the statistical analysis of dirty pictures,” J. Royal Statist. Soc., Ser. B, vol. 48, pp. 259–302, 1986.
    • (1986) J. Royal Statist. Soc., Ser. B , vol.48 , pp. 259-302
    • Besag, J.1
  • 4
    • 0000633153 scopus 로고
    • Towards Bayesian image analysis
    • J. Besag, “Towards Bayesian image analysis,” J. Appl. Statistics, vol. 16, 1989.
    • (1989) J. Appl. Statistics , vol.16
    • Besag, J.1
  • 5
    • 0004293575 scopus 로고
    • Visual Reconstruction
    • Cambridge, MA: MIT Press
    • A. Blake and A. Zisserman, Visual Reconstruction, Cambridge, MA: MIT Press, 1987.
    • (1987)
    • Blake, A.1    Zisserman, A.2
  • 7
    • 0023123263 scopus 로고
    • Modelling and segmentation of noisy and textured images using Gibbs random fields
    • H. Derin and H. Elliott, “Modelling and segmentation of noisy and textured images using Gibbs random fields,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-9, pp. 39–55, 1987.
    • (1987) IEEE Trans. Patt. Anal. Machine Intell , vol.PAMI-9 , pp. 39-55
    • Derin, H.1    Elliott, H.2
  • 10
    • 6344290964 scopus 로고
    • Bayesian image analysis
    • (E. Bienenstock, F. Fogel-man, and G. Weisbuch, Eds.). Berlin: Springer-Verlag
    • D. Geman and S. Geman, “Bayesian image analysis” in Disordered Systems and Biological Organization. (E. Bienenstock, F. Fogel-man, and G. Weisbuch, Eds.). Berlin: Springer-Verlag, 1986, vol. F20.
    • (1986) Disordered Systems and Biological Organization , vol.F20
    • Geman, D.1    Geman, S.2
  • 12
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • S. Geman and D. Geman, “Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-7, no. 6, pp. 721–741, 1986.
    • (1986) IEEE Trans. Patt. Anal. Machine Intell , vol.PAMI-7 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 15
    • 0024611341 scopus 로고
    • A renormalization group approach to image processing problems
    • B. Gidas, “A renormalization group approach to image processing problems,” IEEE Trans. Patt. Anal. Machine Intell, vol. 11, pp. 164–180, 1989.
    • (1989) IEEE Trans. Patt. Anal. Machine Intell , vol.11 , pp. 164-180
    • Gidas, B.1
  • 16
    • 0025404969 scopus 로고
    • Bayesian reconstruction from emission tomography data using a modified EM algorithm
    • P. J. Green, “Bayesian reconstruction from emission tomography data using a modified EM algorithm,” IEEE Trans. Med. Imaging, vol. 9, pp. 84–93, 1990.
    • (1990) IEEE Trans. Med. Imaging , vol.9 , pp. 84-93
    • Green, P.J.1
  • 17
    • 0003841907 scopus 로고
    • Robust Statistics: The Approach Based on Influence Functions
    • New York: Wiley
    • F. R. Hampel, E. M. Ronchetty, P.J. Rousseeuw, and W.A. Stahel, Robust Statistics: The Approach Based on Influence Functions. New York: Wiley, 1986.
    • (1986)
    • Hampel, F.R.1    Ronchetty, E.M.2    Rousseeuw, P.J.3    Stahel, W.A.4
  • 18
    • 84945715288 scopus 로고
    • Compound Gauss-Markov random fields for image estimation
    • Jeng and J. Woods, “Compound Gauss-Markov random fields for image estimation,” Tech. Rep., Rensselaer Polytech. Inst., 1988.
    • (1988) Tech. Rep., Rensselaer Polytech. Inst
    • Jeng1    Woods, J.2
  • 19
    • 84945724385 scopus 로고
    • personal communication July
    • W. Kendall, personal communication, July 1989.
    • (1989)
    • Kendall, W.1
  • 20
    • 0001863842 scopus 로고
    • Constructing simple stable descriptions for image parti-tioning
    • Y. G. Leclerc, “Constructing simple stable descriptions for image parti-tioning,” Int. J. Comput. Vision, vol. 3, pp. 73–102, 1989.
    • (1989) Int. J. Comput. Vision , vol.3 , pp. 73-102
    • Leclerc, Y.G.1
  • 22
    • 84950881632 scopus 로고
    • Probabilistic solution of ill-posed problems in computational vision
    • J. L. Marroquin, S. Mitter, and T. Poggio, “Probabilistic solution of ill-posed problems in computational vision,” J. Amer. Stat. Assoc., vol. 82, pp. 76–89, 1987.
    • (1987) J. Amer. Stat. Assoc , vol.82 , pp. 76-89
    • Marroquin, J.L.1    Mitter, S.2    Poggio, T.3
  • 23
    • 84945780918 scopus 로고
    • Using spatial models as priors in astronomical image analysis
    • R. Molina and B.D. Ripley, “Using spatial models as priors in astronomical image analysis,” J. Appl. Stat., vol. 16, no. 2, pp. 193–206, 1989.
    • (1989) J. Appl. Stat , vol.16 , Issue.2 , pp. 193-206
    • Molina, R.1    Ripley, B.D.2
  • 24
    • 0022417790 scopus 로고
    • Computational vision and regularization theory
    • T. Poggio, V. Torre, and C. Koch, “Computational vision and regularization theory,” Nature, vol. 317, pp. 314–319, 1989.
    • (1989) Nature , vol.317 , pp. 314-319
    • Poggio, T.1    Torre, V.2    Koch, C.3
  • 26
    • 0000399152 scopus 로고
    • Minimum-description-length principle
    • New York: Wiley
    • J. Rissanen, “Minimum-description-length principle,” in Encyclopedia of Statistics. New York: Wiley, 1987, pp. 523–527, vol. 5.
    • (1987) Encyclopedia of Statistics , vol.5 , pp. 523-527
    • Rissanen, J.1
  • 28
    • 0022756380 scopus 로고
    • Regularization of inverse visual problems involving discontinuities
    • D. Terzopoulis, “Regularization of inverse visual problems involving discontinuities,” IEEE Trans. Patt. Anal. Machine Intell, vol. PAMI-8, pp. 413–424, 1986.
    • (1986) IEEE Trans. Patt. Anal. Machine Intell , vol.PAMI-8 , pp. 413-424
    • Terzopoulis, D.1
  • 29
    • 0026139576 scopus 로고
    • A study of methods of choosing the smoothing parameter in image restoration by regularization
    • A. M. Thompson, J. C. Brown, J. W. Kay, and M. Titterington, “A study of methods of choosing the smoothing parameter in image restoration by regularization,” IEEE Trans. Pattern Anal Machine Intell, vol. 13, pp. 326–339, 1991.
    • (1991) IEEE Trans. Pattern Anal Machine Intell , vol.13 , pp. 326-339
    • Thompson, A.M.1    Brown, J.C.2    Kay, J.W.3    Titterington, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.