메뉴 건너뛰기




Volumn 82, Issue 2, 2009, Pages 205-229

Fields of experts

Author keywords

Image modeling; Image restoration; Learning; Low level vision; Markov random fields

Indexed keywords

COMPUTER VISION; EDUCATION; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; NEMATIC LIQUID CRYSTALS; PROBABILITY DENSITY FUNCTION; RESTORATION; STRUCTURAL FRAMES;

EID: 60449120149     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-008-0197-6     Document Type: Article
Times cited : (828)

References (97)
  • 1
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • 6
    • A. J. Bell T. J. Sejnowski 1995 An information-maximization approach to blind separation and blind deconvolution Neural Computation 7 6 1129 1159
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
    • 33947180792 scopus 로고    scopus 로고
    • Stochastic learning
    • O. Bousquet & U. von Luxburg (Eds.). Advanced lectures on machine learning. Berlin: Springer
    • Bottou, L. (2004). Stochastic learning. In O. Bousquet & U. von Luxburg (Eds.), Lecture notes in artificial intelligence: Vol. 3176. Advanced lectures on machine learning (pp. 146-168). Berlin: Springer.
    • (2004) Lecture Notes in Artificial Intelligence , vol.3176 , pp. 146-168
    • Bottou, L.1
  • 12
    • 0032687294 scopus 로고    scopus 로고
    • Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood
    • 7
    • X. Descombes R. D. Morris J. Zerubia M. Berthod 1999 Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood IEEE Transactions on Image Processing 8 7 954 963
    • (1999) IEEE Transactions on Image Processing , vol.8 , pp. 954-963
    • Descombes, X.1    Morris, R.D.2    Zerubia, J.3    Berthod, M.4
  • 13
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • 1
    • D. L. Donoho M. Elad V. N. Temlyakov 2006 Stable recovery of sparse overcomplete representations in the presence of noise IEEE Transactions Information Theory 52 1 6 18
    • (2006) IEEE Transactions Information Theory , vol.52 , pp. 6-18
    • Donoho, D.L.1    Elad, M.2    Temlyakov, V.N.3
  • 14
    • 0033285309 scopus 로고    scopus 로고
    • Texture synthesis by non-parametric sampling
    • Sept. 1999
    • Efros, A. A., & Leung, T. K. (1999). Texture synthesis by non-parametric sampling. In IEEE int. conf. on comp. vis. (ICCV) (Vol. 2, pp. 1033-1038), Sept. 1999.
    • (1999) IEEE Int. Conf. on Comp. Vis. (ICCV) , vol.2 , pp. 1033-1038
    • Efros, A.A.1    Leung, T.K.2
  • 15
    • 33845584374 scopus 로고    scopus 로고
    • Image denoising via learned dictionaries and sparse representations
    • June 2006
    • Elad, M., & Aharon, M. (2006). Image denoising via learned dictionaries and sparse representations. In IEEE conf. on comp. vis. and pat. recog. (CVPR) (Vol. 1, pp. 895-900), June 2006.
    • (2006) IEEE Conf. on Comp. Vis. and Pat. Recog. (CVPR) , vol.1 , pp. 895-900
  • 16
    • 60449104461 scopus 로고    scopus 로고
    • Analysis versus synthesis in signal priors
    • Florence, Italy, Sept. 2006
    • Elad, M., Milanfar, P., & Rubinstein, R. (2006). Analysis versus synthesis in signal priors. In Proc. of EUSIPCO, Florence, Italy, Sept. 2006.
    • (2006) Proc. of EUSIPCO
    • Elad, M.1    Milanfar, P.2    Rubinstein, R.3
  • 24
    • 38249012728 scopus 로고
    • A nonlinear filter for film restoration and other problems in image processing
    • 2
    • S. Geman D. E. [tmp] McClure D. Geman 1992 A nonlinear filter for film restoration and other problems in image processing CVGIP: Graphical Models and Image Processing 54 2 281 289
    • (1992) CVGIP: Graphical Models and Image Processing , vol.54 , pp. 281-289
    • Geman, S.1    McClure, D.E.2    Geman, D.3
  • 28
    • 60449109035 scopus 로고    scopus 로고
    • Diplom thesis, Eidgenössische Technische Hochschule, Zürich, Switzerland, Sept. 2005
    • Gisy, T. (2005). Image inpainting based on natural image statistics. Diplom thesis, Eidgenössische Technische Hochschule, Zürich, Switzerland, Sept. 2005.
    • (2005) Image Inpainting Based on Natural Image Statistics
    • Gisy, T.1
  • 29
    • 0034243798 scopus 로고    scopus 로고
    • Properties of basis functions generated by shift invariant sparse representations of natural images
    • 2
    • W. Hashimoto K. Kurata 2000 Properties of basis functions generated by shift invariant sparse representations of natural images Biological Cybernetics 83 2 111 118
    • (2000) Biological Cybernetics , vol.83 , pp. 111-118
    • Hashimoto, W.1    Kurata, K.2
  • 32
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • 8
    • G. E. Hinton 2002 Training products of experts by minimizing contrastive divergence Neural Computation 14 8 1771 1800
    • (2002) Neural Computation , vol.14 , pp. 1771-1800
    • Hinton, G.E.1
  • 33
    • 3843121539 scopus 로고    scopus 로고
    • Discovering multiple constraints that are frequently approximately satisfied
    • Aug. 2001
    • Hinton, G. E., & Teh, Y.-W. (2001). Discovering multiple constraints that are frequently approximately satisfied. In Conf. on uncert. in art. intel. (UAI) (pp. 227-234), Aug. 2001.
    • (2001) Conf. on Uncert. in Art. Intel. (UAI) , pp. 227-234
    • Hinton, G.E.1    Teh, Y.-W.2
  • 36
    • 22044434800 scopus 로고    scopus 로고
    • Estimation of non-normalized statistical models by score matching
    • A. Hyvaärinen 2005 Estimation of non-normalized statistical models by score matching Journal of Machine Learning Research 6 695 708
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 695-708
    • Hyvaärinen, A.1
  • 39
    • 33745868644 scopus 로고    scopus 로고
    • Unsupervised patch-based image regularization and representation
    • A. Leonardis, H. Bischof, & A. Prinz (Eds.). Eur. conf. on comp. vis. (ECCV). Berlin: Springer
    • Kervrann, C., & Boulanger, J. (2006). Unsupervised patch-based image regularization and representation. In A. Leonardis, H. Bischof, & A. Prinz (Eds.), Lect. notes in comp. sci.: Vol. 3954. Eur. conf. on comp. vis. (ECCV) (pp. 555-567). Berlin: Springer.
    • (2006) Lect. Notes in Comp. Sci. , vol.3954 , pp. 555-567
    • Kervrann, C.1    Boulanger, J.2
  • 43
    • 33745818928 scopus 로고    scopus 로고
    • Efficient belief propagation with learned higher-order Markov random fields
    • A. Leonardis, H. Bischof, & A. Prinz (Eds.). Eur. conf. on comp. vis. (ECCV). Berlin: Springer
    • Lan, X., Roth, S., Huttenlocher, D. P., & Black, M. J. (2006). Efficient belief propagation with learned higher-order Markov random fields. In A. Leonardis, H. Bischof, & A. Prinz (Eds.), Lect. notes in comp. sci.: Vol. 3952. Eur. conf. on comp. vis. (ECCV) (pp. 269-282). Berlin: Springer.
    • (2006) Lect. Notes in Comp. Sci. , vol.3952 , pp. 269-282
    • Lan, X.1    Roth, S.2    Huttenlocher, D.P.3    Black, M.J.4    Leonardis, A.5    Bischof, H.6    Prinz, A.7
  • 44
    • 84862617580 scopus 로고    scopus 로고
    • Loss functions for discriminative training of energy-based models
    • R. G. Cowell and Z. Ghahramani (Eds.) Jan. 2005
    • LeCun, Y., & Huang, F. J. (2005). Loss functions for discriminative training of energy-based models. In R. G. Cowell and Z. Ghahramani (Eds.) Int. works. on art. int. and stat. (AISTATS) (pp. 206-213), Jan. 2005.
    • (2005) Int. Works. on Art. Int. and Stat. (AISTATS) , pp. 206-213
    • Lecun, Y.1    Huang, F.J.2
  • 45
    • 0345414113 scopus 로고    scopus 로고
    • Learning how to inpaint from global image statistics
    • Oct. 2003
    • Levin, A., Zomet, A., & Weiss, Y. (2003). Learning how to inpaint from global image statistics. In IEEE int. conf. on comp. vis. (ICCV) (Vol. 1, pp. 305-312), Oct. 2003.
    • (2003) IEEE Int. Conf. on Comp. Vis. (ICCV) , vol.1 , pp. 305-312
    • Levin, A.1    Zomet, A.2    Weiss, Y.3
  • 47
    • 84864069561 scopus 로고    scopus 로고
    • Statistical modeling of images with fields of Gaussian scale mixtures
    • Lyu, S., & Simoncelli, E. P. (2007). Statistical modeling of images with fields of Gaussian scale mixtures. In Adv. in neur. inf. proc. sys. (NIPS) (Vol. 19, pp. 945-952).
    • (2007) Adv. in Neur. Inf. Proc. Sys. (NIPS) , vol.19 , pp. 945-952
    • Lyu, S.1    Simoncelli, E.P.2
  • 49
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • July 2001
    • Martin, D., Fowlkes, C., Tal, D., & Malik, J. (2001). A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In IEEE int. conf. on comp. vis. (ICCV) (Vol. 2, pp. 416-423), July 2001.
    • (2001) IEEE Int. Conf. on Comp. Vis. (ICCV) , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 51
    • 33947651485 scopus 로고    scopus 로고
    • (Technical Report MSR-TR-2005-173), Microsoft Research, Cambridge, UK
    • Minka, T. (2005). Divergence measures and message passing (Technical Report MSR-TR-2005-173), Microsoft Research, Cambridge, UK.
    • (2005) Divergence Measures and Message Passing
    • Minka, T.1
  • 53
    • 34250415938 scopus 로고
    • Gibbs and Markov random systems with constraints
    • 1
    • J. Moussouris 1974 Gibbs and Markov random systems with constraints Journal of Statistical Physics 10 1 11 33
    • (1974) Journal of Statistical Physics , vol.10 , pp. 11-33
    • Moussouris, J.1
  • 54
    • 0004087397 scopus 로고
    • (Technical Report CRG-TR-93-1), Department of Computer Science, University of Toronto, Ontario, Canada, Sept. 1993
    • Neal, R. M. (1993). Probabilistic inference using Markov chain Monte Carlo methods (Technical Report CRG-TR-93-1), Department of Computer Science, University of Toronto, Ontario, Canada, Sept. 1993.
    • (1993) Probabilistic Inference Using Markov Chain Monte Carlo Methods
    • Neal, R.M.1
  • 58
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by V1?
    • 23
    • B. A. Olshausen D. J. Field 1997 Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research 37 23 3311 3325
    • (1997) Vision Research , vol.37 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 59
    • 0032099265 scopus 로고    scopus 로고
    • Texture synthesis via a noncausal nonparametric multiscale Markov random field
    • 6
    • R. Paget I. D. Longstaff 1998 Texture synthesis via a noncausal nonparametric multiscale Markov random field IEEE Transactions on Image Processing 7 6 925 931
    • (1998) IEEE Transactions on Image Processing , vol.7 , pp. 925-931
    • Paget, R.1    Longstaff, I.D.2
  • 61
    • 0022417790 scopus 로고
    • Computational vision and regularization theory
    • T. Poggio V. Torre C. Koch 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
  • 62
    • 60449102504 scopus 로고    scopus 로고
    • Portilla, J. (2006a). Benchmark images. http://www.io.csic.es/PagsPers/ JPortilla/denoise/test-images/index.htm.
    • (2006) Benchmark Images
    • Portilla, J.1
  • 63
    • 60449118363 scopus 로고    scopus 로고
    • Software version 1.0.3
    • Portilla, J. (2006b). Image denoising software. http://www.io.csic.es/ PagsPers/JPortilla/denoise/software/index.htm. Software version 1.0.3.
    • (2006) Image Denoising Software
    • Portilla, J.1
  • 65
    • 34948826444 scopus 로고    scopus 로고
    • Efficient belief propagation for vision using linear constraint nodes
    • June 2007
    • Potetz, B. (2007). Efficient belief propagation for vision using linear constraint nodes. In IEEE conf. on comp. vis. and pat. recog. (CVPR), June 2007.
    • (2007) IEEE Conf. on Comp. Vis. and Pat. Recog. (CVPR)
    • Potetz, B.1
  • 67
    • 51949108506 scopus 로고    scopus 로고
    • Ph.D. Dissertation, Brown University, Department of Computer Science, Providence, Rhode Island, May 2007
    • Roth, S. (2007). High-order Markov random fields for low-level vision. Ph.D. Dissertation, Brown University, Department of Computer Science, Providence, Rhode Island, May 2007.
    • (2007) High-order Markov Random Fields for Low-level Vision
    • Roth, S.1
  • 68
    • 24644467818 scopus 로고    scopus 로고
    • Fields of experts: A framework for learning image priors
    • June 2005
    • Roth, S., & Black, M. J. (2005). Fields of experts: A framework for learning image priors. In IEEE conf. on comp. vis. and pat. recog. (CVPR) (Vol. 2, pp. 860-867), June 2005.
    • (2005) IEEE Conf. on Comp. Vis. and Pat. Recog. (CVPR) , vol.2 , pp. 860-867
    • Roth, S.1    Black, M.J.2
  • 71
    • 0033556862 scopus 로고    scopus 로고
    • A unifying review of linear Gaussian models
    • 2
    • S. Roweis Z. Ghahramani 1999 A unifying review of linear Gaussian models Neural Computation 11 2 305 345
    • (1999) Neural Computation , vol.11 , pp. 305-345
    • Roweis, S.1    Ghahramani, Z.2
  • 73
    • 84898984660 scopus 로고    scopus 로고
    • Learning sparse multiscale image representations
    • Sallee, P., & Olshausen, B. A. (2003). Learning sparse multiscale image representations. In Adv. in neur. inf. proc. sys. (NIPS) (Vol. 15, pp. 1327-1334).
    • (2003) Adv. in Neur. Inf. Proc. Sys. (NIPS) , vol.15 , pp. 1327-1334
    • Sallee, P.1    Olshausen, B.A.2
  • 74
    • 0000475690 scopus 로고    scopus 로고
    • A variational approach to the design of early vision algorithms
    • C. Schnörr R. Sprengel B. Neumann 1996 A variational approach to the design of early vision algorithms Computing Supplement 11 149 165
    • (1996) Computing Supplement , vol.11 , pp. 149-165
    • Schnörr, C.1    Sprengel, R.2    Neumann, B.3
  • 75
    • 0030649677 scopus 로고    scopus 로고
    • On the use of Gibbs priors for Bayesian image restoration
    • 1
    • G. Sebastiani F. Godtliebsen 1997 On the use of Gibbs priors for Bayesian image restoration Signal Processing 56 1 111 118
    • (1997) Signal Processing , vol.56 , pp. 111-118
    • Sebastiani, G.1    Godtliebsen, F.2
  • 80
    • 0000169287 scopus 로고
    • Bayesian modeling of uncertainty in low-level vision
    • 3
    • R. Szeliski 1990 Bayesian modeling of uncertainty in low-level vision International Journal of Computer Vision 5 3 271 301
    • (1990) International Journal of Computer Vision , vol.5 , pp. 271-301
    • Szeliski, R.1
  • 84
    • 54249144116 scopus 로고    scopus 로고
    • An unbiased second-order prior for high-accuracy motion estimation
    • Pat. recog., proc. DAGM-symp. Berlin: Springer
    • Trobin, W., Pock, T., Cremers, D., & Bischof, H. (2008). An unbiased second-order prior for high-accuracy motion estimation. In Lect. notes in comp. sci.: Vol. 5096. Pat. recog., proc. DAGM-symp. (pp. 396-405). Berlin: Springer.
    • (2008) Lect. Notes in Comp. Sci. , vol.5096 , pp. 396-405
    • Trobin, W.1    Pock, T.2    Cremers, D.3    Bischof, H.4
  • 85
    • 8644258401 scopus 로고    scopus 로고
    • A statistical approach to texture classification from single images
    • 1-2
    • M. Varma A. Zisserman 2005 A statistical approach to texture classification from single images International Journal of Computer Vision 62 1-2 61 81
    • (2005) International Journal of Computer Vision , vol.62 , pp. 61-81
    • Varma, M.1    Zisserman, A.2
  • 87
    • 84957681902 scopus 로고    scopus 로고
    • A review of nonlinear diffusion filtering
    • Proceedings of scale-space theory in computer vision. Berlin: Springer
    • Weickert, J. (1997). A review of nonlinear diffusion filtering. In Lect. notes in comp. sci.: Vol. 1252. Proceedings of scale-space theory in computer vision (pp. 3-28). Berlin: Springer.
    • (1997) Lect. Notes in Comp. Sci. , vol.1252 , pp. 3-28
    • Weickert, J.1
  • 89
    • 78651077964 scopus 로고    scopus 로고
    • Learning in Markov random fields with contrastive free energies
    • R. G. Cowell and Z. Ghahramani (Eds.) Jan. 2005
    • Welling, M., & Sutton, C. (2005). Learning in Markov random fields with contrastive free energies. In R. G. Cowell and Z. Ghahramani (Eds.), Int. works. on art. int. and stat. (AISTATS) (pp. 389-396), Jan. 2005.
    • (2005) Int. Works. on Art. Int. and Stat. (AISTATS) , pp. 389-396
    • Welling, M.1    Sutton, C.2
  • 90
    • 84898970768 scopus 로고    scopus 로고
    • Learning sparse topographic representations with products of Student-t distributions
    • Welling, M., Hinton, G. E., & Osindero, S. (2003). Learning sparse topographic representations with products of Student-t distributions. In Adv. in neur. inf. proc. sys. (NIPS) (Vol. 15, pp. 1359-1366).
    • (2003) Adv. in Neur. Inf. Proc. Sys. (NIPS) , vol.15 , pp. 1359-1366
    • Welling, M.1    Hinton, G.E.2    Osindero, S.3
  • 92
    • 0242611222 scopus 로고
    • Two-dimensional random fields and representation of images
    • 4
    • E. Wong 1968 Two-dimensional random fields and representation of images SIAM Journal on Applied Mathematics 16 4 756 770
    • (1968) SIAM Journal on Applied Mathematics , vol.16 , pp. 756-770
    • Wong, E.1
  • 93
    • 33745778496 scopus 로고    scopus 로고
    • Linear programming relaxations and belief propagation-An empirical study
    • C. Yanover T. Meltzer Y. Weiss 2006 Linear programming relaxations and belief propagation-An empirical study Journal of Machine Learning Research 7 1887 1907
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1887-1907
    • Yanover, C.1    Meltzer, T.2    Weiss, Y.3
  • 95
    • 84931835069 scopus 로고    scopus 로고
    • A compact model for viewpoint dependent texture synthesis
    • Proceedings of SMILE 2000 workshop. Berlin: Springer
    • Zalesny, A., & van Gool, L. (2001). A compact model for viewpoint dependent texture synthesis. In Lect. notes in comp. sci.: Vol. 2018. Proceedings of SMILE 2000 workshop (pp. 124-143). Berlin: Springer.
    • (2001) Lect. Notes in Comp. Sci. , vol.2018 , pp. 124-143
    • Zalesny, A.1    Van Gool, L.2
  • 97
    • 0032025550 scopus 로고    scopus 로고
    • Filters random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling
    • 2
    • S. C. Zhu Y. Wu D. Mumford 1998 Filters random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling International Journal of Computer Vision 27 2 107 126
    • (1998) International Journal of Computer Vision , vol.27 , pp. 107-126
    • Zhu, S.C.1    Wu, Y.2    Mumford, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.