메뉴 건너뛰기




Volumn 97, Issue C, 1996, Pages 85-189

Models and algorithms for edge-preserving image reconstruction

Author keywords

[No Author keywords available]

Indexed keywords

EDGE DETECTION; IMAGE RECONSTRUCTION; RESTORATION; SEQUENTIAL MACHINES; STRUCTURAL FRAMES;

EID: 77954587851     PISSN: 10765670     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S1076-5670(08)70094-6     Document Type: Article
Times cited : (25)

References (118)
  • 2
    • 34748925841 scopus 로고
    • Approximations of functionals depending on jumps by elliptic functionals via Γ-convergence
    • Ambrosio, L., and Tortorelli, V. M. (1990). Approximations of functionals depending on jumps by elliptic functionals via Γ-convergence. Comm. Pure Appl. Math. 43, 999-1036.
    • (1990) Comm. Pure Appl. Math. , vol.43 , pp. 999-1036
    • Ambrosio, L.1    Tortorelli, V.M.2
  • 5
    • 0342891448 scopus 로고
    • Synchronous Boltzmann machines and Gibbs fields: Learning algorithms
    • (F. Fogelman and J. Hérault, Eds.). NATO ASI F 68
    • Azencott, R. (1990). Synchronous Boltzmann machines and Gibbs fields: learning algorithms. In "Neurocomputing" (F. Fogelman and J. Hérault, Eds.). NATO ASI F 68, pp. 51-64.
    • (1990) Neurocomputing , pp. 51-64
    • Azencott, R.1
  • 6
    • 0039123732 scopus 로고
    • Boltzmann machines: High-order interactions and synchronous learning
    • (P. Barone and A. Frigessi, Eds.), Lecture Notes in Statistics. Springer-Verlag, New York.
    • Azencott, R. (1992). "Boltzmann machines: high-order interactions and synchronous learning. In "Stochastic Models in Image Analysis (P. Barone and A. Frigessi, Eds.), pp. 14-45. Lecture Notes in Statistics. Springer-Verlag, New York.
    • (1992) Stochastic Models in Image Analysis , pp. 14-45
    • Azencott, R.1
  • 7
    • 0002009151 scopus 로고
    • Inference from inadequate and inaccurate data
    • Parts I, II and III. 281-287; 67, 282-289.
    • Backus, G. (1970). Inference from inadequate and inaccurate data, Parts I, II and III. Proc. Natl. Acad. Sci. USA 65, 1-105, 281-287; 67, 282-289.
    • (1970) Proc. Natl. Acad. Sci. USA , vol.65 , pp. 1-105
    • Backus, G.1
  • 8
    • 0025435064 scopus 로고
    • Neural network use in Maximum Entropy image restoration
    • DOI 10.1016/0262-8856(90)90025-Z
    • Bedini, L., and Tonazzini, A. (1990). Neural networks use in maximum entropy image restoration. Image Vision Comput. 8, 108-114. (Pubitemid 20685974)
    • (1990) Image and Vision Computing , vol.8 , Issue.2 , pp. 108-114
    • Bedini, L.1    Tonazzini, A.2
  • 9
    • 0000975334 scopus 로고
    • Image restoration preserving discontinuities: The Bayesian approach and neural networks
    • Bedini, L., and Tonazzini, A. (1992). Image restoration preserving discontinuities: the Bayesian approach and neural networks. Image Vision Comput. 10, 108-118.
    • (1992) Image Vision Comput. , vol.10 , pp. 108-118
    • Bedini, L.1    Tonazzini, A.2
  • 10
    • 0011082176 scopus 로고
    • A dual approach to regularization in image restoration
    • Bedini, L., Fantini, E., and Tonazzini, A. (1991). A dual approach to regularization in image restoration. Pattern Recogn. Lett. 12, 687-692.
    • (1991) Pattern Recogn. Lett. , vol.12 , pp. 687-692
    • Bedini, L.1    Fantini, E.2    Tonazzini, A.3
  • 11
    • 0027611116 scopus 로고
    • Mixed-annealing algorithm for edge preserving image reconstruction using a limited number of projections
    • DOI 10.1016/0165-1684(93)90009-Y
    • Bedini, L., Benvenuti, L., Salerno, E., and Tonazzini, A. (1993a). A mixed-annealing algo-rithm for edge preserving image reconstruction using a limited number of projections. Signal Process. 32, 397-408. (Pubitemid 23700305)
    • (1993) Signal Processing , vol.32 , Issue.3 , pp. 397-408
    • Bedini, L.1    Benvenuti, L.2    Salerno, E.3    Tonazzini, A.4
  • 13
    • 77954567723 scopus 로고
    • Non-convex optimization for image reconstruction with implicitly referred discontinuities
    • (G. Vernazza, A. N. Venetsanopoulos, and C. Braccini, Eds.), Elsevier, Amsterdam.
    • Bedini, L., Pepe, M. G., Salerno, E., and Tonazzini, A. (1993c). Non-convex optimization for image reconstruction with implicitly referred discontinuities. In "Image Processing: Theory and Applications" (G. Vernazza, A. N. Venetsanopoulos, and C. Braccini, Eds.), pp. 263-266. Elsevier, Amsterdam.
    • (1993) Image Processing: Theory and Applications , pp. 263-266
    • Bedini, L.1    Pepe, M.G.2    Salerno, E.3    Tonazzini, A.4
  • 14
    • 0028397608 scopus 로고
    • A deterministic algorithm for reconstructing images with interacting discontinuities
    • Bedini, L., Gerace, I., and Tonazzini, A. (1994a). A deterministic algorithm for reconstructing images with interacting discontinuities. CVGIP: Graphical Models Image Process. 56, 109-123.
    • (1994) CVGIP: Graphical Models Image Process , vol.56 , pp. 109-123
    • Bedini, L.1    Gerace, I.2    Tonazzini, A.3
  • 15
    • 0028495770 scopus 로고
    • A GNC algorithm for constrained image reconstruction with continuous-valued line processes
    • Bedini, L., Gerace, I., and Tonazzini, A. (1994b). A GNC algorithm for constrained image reconstruction with continuous-valued line processes. Pattern Recogn. Lett. 15, 907-918.
    • (1994) Pattern Recogn. Lett. , vol.15 , pp. 907-918
    • Bedini, L.1    Gerace, I.2    Tonazzini, A.3
  • 17
    • 0028508178 scopus 로고
    • Edge-preserving tomographic reconstruc-tion from Gaussian data using a Gibbs prior and a generalized expectation-maximization algorithm
    • Bedini, L., Salerno, E., and Tonazzini, A. (1994d). Edge-preserving tomographic reconstruc-tion from Gaussian data using a Gibbs prior and a generalized expectation-maximization algorithm. Int. J. Imaging Syst. Technol. 5, 231-238.
    • (1994) Int. J. Imaging Syst. Technol. , vol.5 , pp. 231-238
    • Bedini, L.1    Salerno, E.2    Tonazzini, A.3
  • 18
    • 0029389709 scopus 로고
    • Sigmoidal approximations for self-interacting line processes in edge-preserving image restoration
    • Bedini, L., Gerace, L, and Tonazzini, A. (1995). Sigmoidal approximations for self-interacting line processes in edge-preserving image restoration. Pattern Recogn. Lett. 16, 1011-1022.
    • (1995) Pattern Recogn. Lett. , vol.16 , pp. 1011-1022
    • Bedini, L.1    Gerace, L.2    Tonazzini, A.3
  • 19
    • 0024057651 scopus 로고
    • III-posed problems in early vision
    • Bertero, M., Poggio, T., and Torre, V. (1988). III-posed problems in early vision. IEEE Proc. 76, 869-889.
    • (1988) IEEE Proc. , vol.76 , pp. 869-889
    • Bertero, M.1    Poggio, T.2    Torre, V.3
  • 20
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems (with discussion)
    • Besag, J. (1974). Spatial interaction and the statistical analysis of lattice systems (with discussion). J. Royal Statist. Soc. Ser. B 36, 192-236.
    • (1974) J. Royal Statist. Soc. Ser. B , vol.36 , pp. 192-236
    • Besag, J.1
  • 21
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • Besag, J. (1986). On the statistical analysis of dirty pictures. J. Royal Statist. Soc. Ser. B 48, 259-302.
    • (1986) J. Royal Statist. Soc. Ser. B , vol.48 , pp. 259-302
    • Besag, J.1
  • 22
    • 84947672901 scopus 로고
    • Towards Bayesian image analysis
    • Besag, J. (1989). Towards Bayesian image analysis. J. Appl. Statist. 16, 395-407.
    • (1989) J. Appl. Statist. , vol.16 , pp. 395-407
    • Besag, J.1
  • 23
    • 0024480752 scopus 로고
    • Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction
    • Blake, A. (1989). Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction. IEEE Trans. Pattern Anal. Machine Intell. 11, 2-12.
    • (1989) IEEE Trans. Pattern Anal. Machine Intell. , vol.11 , pp. 2-12
    • Blake, A.1
  • 25
    • 0023499213 scopus 로고
    • Localising discontinuities using weak continuity constraints
    • Blake, A., and Zisserman, A. (1987b). Localising discontinuities using weak continuity constraints. Pattern Recogn. Lett. 6, 51-59.
    • (1987) Pattern Recogn. Lett. , vol.6 , pp. 51-59
    • Blake, A.1    Zisserman, A.2
  • 27
  • 28
    • 0003346454 scopus 로고
    • Methods of mathematical physics
    • London.
    • Courant, R., and Hilbert, D. (1962). "Methods of Mathematical Physics." Interscience, London.
    • (1962) Interscience
    • Courant, R.1    Hilbert, D.2
  • 31
    • 0002848149 scopus 로고
    • A critical survey of regularized inversion methods
    • (M. Bertero and E. R. Pike, Eds.)
    • De Mol, C. (1992). A critical survey of regularized inversion methods. In "Inverse Problems in Scattering and Imaging" (M. Bertero and E. R. Pike, Eds.), pp. 345-370.
    • (1992) Inverse Problems in Scattering and Imaging , pp. 345-370
    • De Mol, C.1
  • 34
    • 0025623027 scopus 로고
    • Realizations and parameter estimation for line processes
    • IEEE, New York.
    • Derin, H., and Güler, S. (1990). Realizations and parameter estimation for line processes. Proc. ICASSP 90, pp. 2213-2216. IEEE, New York.
    • (1990) Proc. ICASSP , vol.90 , pp. 2213-2216
    • Derin, H.1    Güler, S.2
  • 35
    • 0024752683 scopus 로고
    • Discrete-index Markov-type random process
    • Derin, A., and Kelly, P. A. (1989). Discrete-index Markov-type random process. IEEE Proc. 77, 1485-1510.
    • (1989) IEEE Proc. , vol.77 , pp. 1485-1510
    • Derin, A.1    Kelly, P.A.2
  • 36
    • 49849114033 scopus 로고
    • Well posed stochastic extensions of ill posed linear problems
    • Franklin, J. N. (1970). Well posed stochastic extensions of ill posed linear problems. J. Math. Anal. Appl. 31, 682-716.
    • (1970) J. Math. Anal. Appl. , vol.31 , pp. 682-716
    • Franklin, J.N.1
  • 37
    • 0022216856 scopus 로고
    • Dice, entropy, and likelihood
    • Frieden, B. R. (1985). Dice, entropy, and likelihood. IEEE Proc. 73, 1764-1770.
    • (1985) IEEE Proc. , vol.73 , pp. 1764-1770
    • Frieden, B.R.1
  • 39
    • 33749704079 scopus 로고
    • Parallel and deterministic algorithms for MRFs: Surface reconstruction and integration
    • MIT, AI Memo
    • Geiger, D., and Girosi, F. (1989). Parallel and deterministic algorithms for MRFs: surface reconstruction and integration. Artificial Intelligence Laboratory, MIT, AI Memo 1114.
    • (1989) Artificial Intelligence Laboratory , pp. 1114
    • Geiger, D.1    Girosi, F.2
  • 40
    • 0026151642 scopus 로고
    • Parallel and deterministic algorithms for MRFs: Surface reconstruction
    • PAMI-13
    • Geiger, D., and Girosi, F. (1991). Parallel and deterministic algorithms for MRFs: surface reconstruction. IEEE Trans. Pattern Anal. Machine Intell. PAMI-13, 401-412.
    • (1991) IEEE Trans. Pattern Anal. Machine Intell. , pp. 401-412
    • Geiger, D.1    Girosi, F.2
  • 41
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • PAMI-6
    • Geman, S., and Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Machine Intell. PAMI-6,721-740.
    • (1984) IEEE Trans. Pattern Anal. Machine Intell. , pp. 721-740
    • Geman, S.1    Geman, D.2
  • 42
    • 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. Proc. Am. Stat. Assoc. Stat. Comp. Sect. pp. 12-18.
    • (1985) Proc. Am. Stat. Assoc. Stat. Comp. Sect. , pp. 12-18
    • Geman, S.1    McClure, D.E.2
  • 43
    • 0002200424 scopus 로고
    • Statistical methods for tomographic image recon-struction. Proceedings of the 46th Session of the ISI
    • Geman, S., and McClure, D. E. (1987). Statistical methods for tomographic image recon-struction. Proceedings of the 46th Session of the ISI. Bull. ISI 52, 1-18.
    • (1987) Bull. ISI , vol.52 , pp. 1-18
    • Geman, S.1    McClure, D.E.2
  • 44
    • 0026835074 scopus 로고
    • Constrained restoration and the recovery of discontinu-ities
    • PAMI-14
    • Geman, D., and Reynolds, G. (1992). Constrained restoration and the recovery of discontinu-ities. IEEE Trans. Pattern Anal. Machine Intell. PAMI-14, 367-383.
    • (1992) IEEE Trans. Pattern Anal. Machine Intell. , pp. 367-383
    • Geman, D.1    Reynolds, G.2
  • 47
    • 0042547659 scopus 로고
    • Bayesian reconstruction of functional images using registered anatomical images as priors
    • (A. C. F. Colchester and D. J. Hawkes, Eds.), SpringerVerlag, New York.
    • Gindi, G., Lee, M., Rangarajan, A., and Zubal, I. G. (1991). Bayesian reconstruction of functional images using registered anatomical images as priors. In "Information Processing in Medical Imaging" (A. C. F. Colchester and D. J. Hawkes, Eds.), pp. 121-131. SpringerVerlag, New York.
    • (1991) Information Processing in Medical Imaging , pp. 121-131
    • Gindi, G.1    Lee, M.2    Rangarajan, A.3    Zubal, I.G.4
  • 48
    • 32044449925 scopus 로고
    • Generalized cross-validation as a method for choosing a good ridge parameter
    • Golub, G. H., Heath, M., and Wahba, G. (1979). Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21, 215-223.
    • (1979) Technometrics , vol.21 , pp. 215-223
    • Golub, G.H.1    Heath, M.2    Wahba, G.3
  • 49
    • 0025404969 scopus 로고
    • Bayesian reconstructions from emission tomography data using a modified em algorithm
    • Green, P. J. (1990). Bayesian reconstructions from emission tomography data using a modified EM algorithm. IEEE Trans. Med. Imag. 9, 84-93.
    • (1990) IEEE Trans. Med. Imag. , vol.9 , pp. 84-93
    • Green, P.J.1
  • 51
    • 0001173603 scopus 로고
    • Common structure of techniques for choosing smoothing parameters in regression problems
    • Hall, P., and Titterington, D. M. (1987). Common structure of techniques for choosing smoothing parameters in regression problems. J. Royal Stat. Soc. B 49, 184-198.
    • (1987) J. Royal Stat. Soc. B , vol.49 , pp. 184-198
    • Hall, P.1    Titterington, D.M.2
  • 53
    • 0026837502 scopus 로고
    • The GEM MAP algorithm with 3-D SPECT system response
    • Hebert, T. J., and Gopal, S. S. (1992). The GEM MAP algorithm with 3-D SPECT system response. IEEE Trans. Med. Imag. 11(1), 81-90.
    • (1992) IEEE Trans. Med. Imag. , vol.11 , Issue.1 , pp. 81-90
    • Hebert, T.J.1    Gopal, S.S.2
  • 54
    • 0024681039 scopus 로고
    • A generalized em algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors
    • Hebert, T., and Leahy, R. (1989). A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors. IEEE Trans. Med. Imag. 8, 194-202.
    • (1989) IEEE Trans. Med. Imag. , vol.8 , pp. 194-202
    • Hebert, T.1    Leahy, R.2
  • 55
    • 0026923442 scopus 로고
    • Statistic-based MAP image reconstruction from Poisson data using Gibbs priors
    • Hebert, T. J., and Leahy, R. (1992). Statistic-based MAP image reconstruction from Poisson data using Gibbs priors. IEEE Trans. Signal Process. 40, 2290-2302.
    • (1992) IEEE Trans. Signal Process. , vol.40 , pp. 2290-2302
    • Hebert, T.J.1    Leahy, R.2
  • 58
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA 79, 2554-2558.
    • (1982) Proc. Natl. Acad. Sci. USA , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 59
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • Hopfield, J. J. (1984). Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. USA 81, 3088-3092.
    • (1984) Proc. Natl. Acad. Sci. USA , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 60
    • 0021835689 scopus 로고
    • Neural computation of decisions in optimization problems
    • Hopfield, J. J. (1985). Neural computation of decisions in optimization problems. Biol. Cybern. 52, 141-152.
    • (1985) Biol. Cybern. , vol.52 , pp. 141-152
    • Hopfield, J.J.1
  • 61
    • 0022504321 scopus 로고
    • Computing with neural circuits: A model
    • Hopfield, J. J., and Tank, D. W. (1986). Computing with neural circuits: a model. Science 233, 625-633.
    • (1986) Science , vol.233 , pp. 625-633
    • Hopfield, J.J.1    Tank, D.W.2
  • 62
    • 14344280204 scopus 로고
    • Self annealing when learning a Markov random field image model
    • (D. G. Green and T. Bossomaier, Eds.), IOS Press, Amsterdam.
    • Howard, D., and Moran, W. (1993). Self annealing when learning a Markov random field image model. In "Complex Systems: From Biology to Computation" (D. G. Green and T. Bossomaier, Eds.), pp. 327-340. IOS Press, Amsterdam.
    • (1993) Complex Systems: from Biology to Computation , pp. 327-340
    • Howard, D.1    Moran, W.2
  • 63
    • 0015660455 scopus 로고
    • The application of constrained least squares estimation to image restoration by digital computer
    • Hunt, B. R. (1973). The application of constrained least squares estimation to image restoration by digital computer. IEEE Trans. Comput. 22, 805-812.
    • (1973) IEEE Trans. Comput. , vol.22 , pp. 805-812
    • Hunt, B.R.1
  • 64
    • 0017474071 scopus 로고
    • Bayesian methods in nonlinear digital image restoration
    • Hunt, B. R. (1977). Bayesian methods in nonlinear digital image restoration. IEEE Trans. Comput. 26, 219-229.
    • (1977) IEEE Trans. Comput. , vol.26 , pp. 219-229
    • Hunt, B.R.1
  • 66
    • 0020187981 scopus 로고
    • On the rationale of maximum-entropy methods
    • Jaynes, E. T. (1982). On the rationale of maximum-entropy methods. IEEE Proc. 70(9), 939-952.
    • (1982) IEEE Proc. , vol.70 , Issue.9 , pp. 939-952
    • Jaynes, E.T.1
  • 67
    • 0024057583 scopus 로고
    • Inhomogeneous Gaussian image models for image estimation and restoration
    • Jeng, F. C, and Woods, J. W. (1988). Inhomogeneous Gaussian image models for image estimation and restoration. IEEE Trans. Acoust. Speech Signal Process. 36, 1305-1312.
    • (1988) IEEE Trans. Acoust. Speech Signal Process , vol.36 , pp. 1305-1312
    • Jeng, F.C.1    Woods, J.W.2
  • 68
    • 0025229399 scopus 로고
    • Simulation annealing in compound Gaussian random field
    • Jeng, F. C, and Woods, J. W. (1990). Simulation annealing in compound Gaussian random field. IEEE Trans. Inform. Theory 36, 94-107.
    • (1990) IEEE Trans. Inform. Theory , vol.36 , pp. 94-107
    • Jeng, F.C.1    Woods, J.W.2
  • 69
    • 0026124056 scopus 로고
    • Compound Gauss-Markov random fields for image estimation
    • Jeng, F. C, and Woods, J. W. (1991). Compound Gauss-Markov random fields for image estimation. IEEE Trans. Signal Process. 39, 683-697.
    • (1991) IEEE Trans. Signal Process. , vol.39 , pp. 683-697
    • Jeng, F.C.1    Woods, J.W.2
  • 70
    • 77954585416 scopus 로고
    • Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
    • Johnson, R. W., and Shore, J. E. (1981). Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy. IEEE Trans. Inform. Theory 27, 472-482.
    • (1981) IEEE Trans. Inform. Theory , vol.27 , pp. 472-482
    • Johnson, R.W.1    Shore, J.E.2
  • 71
    • 84913827229 scopus 로고
    • Comments and correction to 'Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
    • Johnson, R. W., and Shore, J. E. (1983). Comments and correction to 'Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy. IEEE Trans. Inform. Theory 29, 942-943.
    • (1983) IEEE Trans. Inform. Theory , vol.29 , pp. 942-943
    • Johnson, R.W.1    Shore, J.E.2
  • 72
    • 0025990747 scopus 로고
    • Bayesian restoration of PET images using Gibbs priors
    • (D. A. Ortendahl and J. Llacer, Eds.), Wiley-Liss, New York.
    • Johnson, V. E., Wong, W. H., Hu, X., and Chen, C. (1991). Bayesian restoration of PET images using Gibbs priors. In "Information Processing in Medical Imaging" (D. A. Ortendahl and J. Llacer, Eds.), pp. 15-28. Wiley-Liss, New York.
    • (1991) Information Processing in Medical Imaging , pp. 15-28
    • Johnson, V.E.1    Wong, W.H.2    Hu, X.3    Chen, C.4
  • 73
    • 84994883818 scopus 로고
    • On the choice of regularization parameter in image restoration
    • Springer-Verlag, New York.
    • Kay, J. W. (1988). On the choice of regularization parameter in image restoration. In "Springer Lecture Notes in Computer Science," Vol. 301, pp. 587-596. Springer-Verlag, New York.
    • (1988) Springer Lecture Notes in Computer Science , vol.301 , pp. 587-596
    • Kay, J.W.1
  • 74
    • 0011177677 scopus 로고
    • Maximum entropy image restoration. I. The entropy expression
    • Kikuchi, R., and Soffer, B. H. (1977). Maximum entropy image restoration. I. The entropy expression. J. Opt. Soc. Am. 67, 1656-1665.
    • (1977) J. Opt. Soc. Am. , vol.67 , pp. 1656-1665
    • Kikuchi, R.1    Soffer, B.H.2
  • 75
    • 26444479778 scopus 로고
    • Optimisation by simulated anneal-ing
    • Kirkpatrick, S., Gellatt, C. D., and Vecchi, M. P. (1983). Optimisation by simulated anneal-ing. Science 220, 671-680.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gellatt, C.D.2    Vecchi, M.P.3
  • 77
    • 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 Trans. Pattern Anal. Machine Intell. U, 799-813.
    • (1989) IEEE Trans. Pattern Anal. Machine Intell. U , pp. 799-813
    • Lakshmanan, S.1    Derin, H.2
  • 78
    • 0021327145 scopus 로고
    • EM reconstruction algorithms for emission and transmission tomography
    • Lange, K., and Carson, R. (1984). EM reconstruction algorithms for emission and transmis-sion tomography. J. Comput. Assist. Tomogr. 8, 306-316. (Pubitemid 14169679)
    • (1984) Journal of Computer Assisted Tomography , vol.8 , Issue.2 , pp. 306-316
    • Lange, K.1    Carson, R.2
  • 80
    • 0022908688 scopus 로고
    • An optimal technique for constraint based image restoration and reconstruction
    • Leahy, R. M., and Goutis, C. E. (1986). An optimal technique for constraint based image restoration and reconstruction. IEEE Trans. Acoust., Speech Signal Process. 34,1629-1642.
    • (1986) IEEE Trans. Acoust., Speech Signal Process , vol.34 , pp. 1629-1642
    • Leahy, R.M.1    Goutis, C.E.2
  • 81
    • 84909806933 scopus 로고
    • Maximum entropy signal restoration from short data records
    • Italy, (G. Messina and M. H. Hamza, Eds.), Acta Press, Anaheim, CA.
    • Leahy, R. M., and Tonazzini, A. (1986). Maximum entropy signal restoration from short data records. In Proc. 8th LASTED Int. Symp. MECO '86 Taormina, Italy, (G. Messina and M. H. Hamza, Eds.), pp. 195-199. Acta Press, Anaheim, CA.
    • (1986) Proc. 8th LASTED Int. Symp. MECO '86 Taormina , pp. 195-199
    • Leahy, R.M.1    Tonazzini, A.2
  • 82
    • 84983600489 scopus 로고
    • Incorporation of anatomical MR data for improved functional imaging with PET
    • (A. C. F. Colchester and D. J. Hawkes, Eds.), Springer-Verlag, New York.
    • Leahy, R., and Yan, X. (1991). Incorporation of anatomical MR data for improved functional imaging with PET. In "Information Processing in Medical Imaging" (A. C. F. Colchester and D. J. Hawkes, Eds.), pp. 105-120. Springer-Verlag, New York.
    • (1991) Information Processing in Medical Imaging , pp. 105-120
    • Leahy, R.1    Yan, X.2
  • 83
    • 0023421482 scopus 로고
    • Maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography
    • Levitan, E., and Herman, G. T. (1987). A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography. IEEE Trans. Med. Imag. 6(3), 185-192. (Pubitemid 17650934)
    • (1987) IEEE Transactions on Medical Imaging , vol.MI-6 , Issue.3 , pp. 185-192
    • Levitan, E.1    Herman Gabor, T.2
  • 87
    • 77954608688 scopus 로고
    • On Gaussian approximation to the Poisson distribution in image processing
    • Division of Applied Mathematics, Brown University, Providence, RI.
    • Manbeck, K. M. (1992). On Gaussian approximation to the Poisson distribution in image processing. Reports in Pattern Theory, no. 157, Division of Applied Mathematics, Brown University, Providence, RI.
    • (1992) Reports in Pattern Theory , Issue.157
    • Manbeck, K.M.1
  • 88
    • 0024251084 scopus 로고
    • Computation of stereo disparity using regularization
    • March, R. (1988). Computation of stereo disparity using regularization. Pattern Recogn. Lett. 8, 181-187.
    • (1988) Pattern Recogn. Lett. , vol.8 , pp. 181-187
    • March, R.1
  • 89
    • 0007198334 scopus 로고
    • A regularization model for stereo vision with controlled discontinuity
    • March, R. (1989). A regularization model for stereo vision with controlled discontinuity. Pattern Recogn. Lett. 10, 259-263.
    • (1989) Pattern Recogn. Lett. , vol.10 , pp. 259-263
    • March, R.1
  • 90
    • 0026682058 scopus 로고
    • Visual reconstruction with discontinuities using variational methods
    • March, R. (1992). Visual reconstruction with discontinuities using variational methods. Image Vision Comput. 10, 30-38.
    • (1992) Image Vision Comput. , vol.10 , pp. 30-38
    • March, R.1
  • 91
    • 84950881632 scopus 로고
    • Probabilistic solution of ill-posed problems in computational vision
    • Marroquin, J., Mitter, S., and Poggio, T. (1987). Probabilistic solution of ill-posed problems in computational vision. J. Am. Stat. Assoc. 82, 76-89.
    • (1987) J. Am. Stat. Assoc. , vol.82 , pp. 76-89
    • Marroquin, J.1    Mitter, S.2    Poggio, T.3
  • 95
    • 0002902522 scopus 로고
    • Least squares methods for ill-posed problems with a prescribed bound
    • Miller, K. (1970). Least squares methods for ill-posed problems with a prescribed bound. SIAM J. Math. Anal. 1, 52-74.
    • (1970) SIAM J. Math. Anal. , vol.1 , pp. 52-74
    • Miller, K.1
  • 96
    • 0018467993 scopus 로고
    • MENT: A maximum entropy algorithm for reconstructing a source from projection data
    • Minerbo, G. (1979). MENT: a maximum entropy algorithm for reconstructing a source from projection data. Computer Graphics Image Process. 10, 48-68.
    • (1979) Computer Graphics Image Process , vol.10 , pp. 48-68
    • Minerbo, G.1
  • 98
    • 0000739264 scopus 로고
    • On the solution of functional equations by the method of regulariza-tion
    • Morozov, V. A. (1966). On the solution of functional equations by the method of regulariza-tion. Soviet Math. Dokl. 7, 414-417.
    • (1966) Soviet Math. Dokl. , vol.7 , pp. 414-417
    • Morozov, V.A.1
  • 99
    • 84990602490 scopus 로고
    • Optimal approximations by piecewise smooth functions and associated variational problems
    • Mumford, D., and Shah, J. (1989), Optimal approximations by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math. 42, 577-685.
    • (1989) Comm. Pure Appl. Math. , vol.42 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 100
    • 0022111510 scopus 로고
    • Early vision: From computational structure to algorithms and parallel hardware
    • Poggio, T. (1985). Early vision: from computational structure to algorithms and parallel hardware. Comput. Vision Graph. Image Process. 31, 139-155.
    • (1985) Comput. Vision Graph. Image Process , vol.31 , pp. 139-155
    • Poggio, T.1
  • 102
    • 0022417790 scopus 로고
    • Computational vision and regularization theory
    • Poggio, T., Torre, V., and Koch, C. (1985). Computational vision and regularization theory. Nature 317, 314-319.
    • (1985) Nature , vol.317 , pp. 314-319
    • Poggio, T.1    Torre, V.2    Koch, C.3
  • 103
    • 34250516079 scopus 로고
    • Smoothing by spline functions
    • Reinsch, C. H. (1967). Smoothing by spline functions. Numer. Math. 10, 177-183.
    • (1967) Numer. Math. , vol.10 , pp. 177-183
    • Reinsch, C.H.1
  • 104
    • 77954608253 scopus 로고
    • GEM algorithm for edge-pre-serving reconstruction in transmission tomography from Gaussian data
    • (D. C. Wilson and J. N. Wilson, Eds.), Proc. SPIE
    • Salerno, E., Bedini, L., Benvenuti, L., and Tonazzini, A. (1993). GEM algorithm for edge-pre-serving reconstruction in transmission tomography from Gaussian data. In "Mathematical Methods in Medical Imaging II" (D. C. Wilson and J. N. Wilson, Eds.), Proc. SPIE 2035, pp. 156-165.
    • (1993) Mathematical Methods in Medical Imaging II , vol.2035 , pp. 156-165
    • Salerno, E.1    Bedini, L.2    Benvenuti, L.3    Tonazzini, A.4
  • 106
    • 0020194763 scopus 로고
    • Maximum likelihood reconstruction for emission tomography
    • Shepp, L. A., and Vardi, Y. (1982). Maximum likelihood reconstruction for emission tomography. IEEE Trans. Med. Imag. 1(2), 113-122.
    • (1982) IEEE Trans. Med. Imag. , vol.1 , Issue.2 , pp. 113-122
    • Shepp, L.A.1    Vardi, Y.2
  • 109
    • 0022756380 scopus 로고
    • Regularization of inverse visual problems involving discontinuities
    • Terzopoulos, D. (1986). Regularization of inverse visual problems involving discontinuities. IEEE Trans. Pattern Anal. Mach. Intell. 8, 413-424.
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell. , vol.8 , pp. 413-424
    • Terzopoulos, D.1
  • 110
    • 0024051722 scopus 로고
    • The computation of visible-surface representations
    • Terzopoulos, D. (1988). The computation of visible-surface representations. IEEE Trans. Pattern Anal. Machine Intell. 10(4), 417-438.
    • (1988) IEEE Trans. Pattern Anal. Machine Intell. , vol.10 , Issue.4 , pp. 417-438
    • Terzopoulos, D.1
  • 112
    • 0001300994 scopus 로고
    • Solution of incorrectly formulated problems and the regularization method
    • Tikhonov, A. N. (1963). Solution of incorrectly formulated problems and the regularization method. Soviet Math. Dokl. 4, 1035-1038.
    • (1963) Soviet Math. Dokl. , vol.4 , pp. 1035-1038
    • Tikhonov, A.N.1
  • 114
    • 0006739178 scopus 로고
    • The maximum entropy method for data analysis, plus Skilling replies
    • Titterington, D. M. (1984). The maximum entropy method for data analysis, plus Skilling replies. Nature 312, 381-382.
    • (1984) Nature , vol.312 , pp. 381-382
    • Titterington, D.M.1
  • 115
    • 0018984592 scopus 로고
    • The relationship between image restoration by the maximum a posteriori method and a maximum entropy method
    • Trussel, H. J. (1980). The relationship between image restoration by the maximum a posteriori method and a maximum entropy method. IEEE Trans. Acoust., Speech Signal Process. 28, 114-117.
    • (1980) IEEE Trans. Acoust., Speech Signal Process , vol.28 , pp. 114-117
    • Trussel, H.J.1
  • 116
    • 0023670085 scopus 로고
    • Stopping rule for the MLE algorithm based on statistical hypothesis testing
    • Veklerov, E., and Llacer, J. (1987). Stopping rule for the MLE algorithm based on statistical hypothesis testing. IEEE Trans. Med. Imag. 6, 313-319.
    • (1987) IEEE Trans. Med. Imag. , vol.6 , pp. 313-319
    • Veklerov, E.1    Llacer, J.2
  • 117


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.