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Volumn 34, Issue 1, 2009, Pages 17-31

Sparse modeling of textures

Author keywords

Image processing; Inpainting; Learning dictionaries; Sparse representation; Texture synthesis

Indexed keywords

COMPUTER GRAPHICS; IMAGE PROCESSING;

EID: 67349215512     PISSN: 09249907     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10851-008-0120-3     Document Type: Article
Times cited : (141)

References (58)
  • 1
    • 67349251766 scopus 로고    scopus 로고
    • Sparse and redundant modeling of image content using an image-signature-dictionary
    • M. Aharon M. Elad 2008 Sparse and redundant modeling of image content using an image-signature-dictionary J. Imag. Sci. 1 3 228 247
    • (2008) J. Imag. Sci. , vol.1 , Issue.3 , pp. 228-247
    • Aharon, M.1    Elad, M.2
  • 2
    • 33750383209 scopus 로고    scopus 로고
    • The k-svd: An algorithm for designing of overcomplete dictionaries for sparse representation
    • M. Aharon M. Elad A.M. Bruckstein 2006 The k-svd: An algorithm for designing of overcomplete dictionaries for sparse representation IEEE Trans. Signal Process. 54 11 4311 4322
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.M.3
  • 4
    • 2542432962 scopus 로고    scopus 로고
    • Disocclusion by joint interpolation of vector fields and gray levels
    • C. Ballester V. Caselles J. Verdera 2003 Disocclusion by joint interpolation of vector fields and gray levels Multiscale Model. Simul. 2 1 80 123
    • (2003) Multiscale Model. Simul. , vol.2 , Issue.1 , pp. 80-123
    • Ballester, C.1    Caselles, V.2    Verdera, J.3
  • 6
    • 0030832881 scopus 로고    scopus 로고
    • The independent components of natural scenes are edge filters
    • A.J. Bell T.J. Sejnowski 1997 The independent components of natural scenes are edge filters Vis. Res. 37 3327 3338
    • (1997) Vis. Res. , vol.37 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 8
    • 0026219642 scopus 로고
    • Analysis of multichannel narrow-band filters for image texture segmentation
    • A.C. Bovik 1991 Analysis of multichannel narrow-band filters for image texture segmentation IEEE Trans. Signal Process. 39 9 2025
    • (1991) IEEE Trans. Signal Process. , vol.39 , Issue.9 , pp. 2025
    • Bovik, A.C.1
  • 10
    • 33645653318 scopus 로고    scopus 로고
    • A review of image denoising algorithms, with a new one
    • A. Buades B. Coll J.M. Morel 2005 A review of image denoising algorithms, with a new one Multiscale Model. Simul. 4 2 490 530
    • (2005) Multiscale Model. Simul. , vol.4 , Issue.2 , pp. 490-530
    • Buades, A.1    Coll, B.2    Morel, J.M.3
  • 12
    • 0034333640 scopus 로고    scopus 로고
    • Designing Gabor filters for optimal texture separability
    • D.A. Clausi M.E. Jernigan 2000 Designing Gabor filters for optimal texture separability Pattern Recogn. 33 11 1835 1849
    • (2000) Pattern Recogn. , vol.33 , Issue.11 , pp. 1835-1849
    • Clausi, D.A.1    Jernigan, M.E.2
  • 13
    • 0024178681 scopus 로고
    • A new approach of vector quantization for image data compression and texture detection
    • Cohen, L.D.: A new approach of vector quantization for image data compression and texture detection. In: International Conference on Pattern Recognition, pp. 1250-1254 (1988)
    • (1988) International Conference on Pattern Recognition , pp. 1250-1254
    • Cohen, L.D.1
  • 15
    • 4344675264 scopus 로고    scopus 로고
    • Region filling and object removal by exemplar-based image inpainting
    • A. Criminisi P. Pérez K. Toyama 2004 Region filling and object removal by exemplar-based image inpainting IEEE Trans. Image Process. 13 9 1200 1212
    • (2004) IEEE Trans. Image Process. , vol.13 , Issue.9 , pp. 1200-1212
    • Criminisi, A.1    Pérez, P.2    Toyama, K.3
  • 16
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • I. Daubechies M. Defrise C. De Mol 2004 An iterative thresholding algorithm for linear inverse problems with a sparsity constraint Commun. Pure Appl. Math. 57 1413 1541
    • (2004) Commun. Pure Appl. Math. , vol.57 , pp. 1413-1541
    • Daubechies, I.1    Defrise, M.2    De Mol, C.3
  • 17
    • 0030705856 scopus 로고    scopus 로고
    • Multiresolution sampling procedure for analysis and synthesis of texture images
    • Assoc. Comput. Mach./Addison Wesley New York/Reading
    • De Bonet, J.S.: Multiresolution sampling procedure for analysis and synthesis of texture images. In: Proc. of SIGGRAPH'97, pp. 361-368. Assoc. Comput. Mach./Addison Wesley, New York/Reading (1997)
    • (1997) Proc. of SIGGRAPH'97 , pp. 361-368
    • De Bonet, J.S.1
  • 18
    • 0033248623 scopus 로고    scopus 로고
    • Wedgelets: Nearly-minimax estimation of edges
    • D. Donoho 1999 Wedgelets: Nearly-minimax estimation of edges Ann. Stat. 27 353 382
    • (1999) Ann. Stat. , vol.27 , pp. 353-382
    • Donoho, D.1
  • 20
    • 0035148826 scopus 로고    scopus 로고
    • Image quilting for texture synthesis and transfer
    • Efros, A.A., Freeman, W.T.: Image quilting for texture synthesis and transfer. In: Proc. of SIGGRAPH 2001, pp. 341-346 (2001)
    • (2001) Proc. of SIGGRAPH 2001 , pp. 341-346
    • Efros, A.A.1    Freeman, W.T.2
  • 21
    • 0032627073 scopus 로고    scopus 로고
    • Method of optimal directions for frame design
    • IEEE Computer Society Los Alamitos
    • Engan, K., Aase, S.O., Hakon Husoy, J.: Method of optimal directions for frame design. In: Proc. ICASSP'99, Washington, DC, pp. 2443-2446. IEEE Computer Society, Los Alamitos (1999)
    • (1999) Proc. ICASSP'99, Washington, DC , pp. 2443-2446
    • Engan, K.1    Aase, S.O.2    Hakon Husoy, J.3
  • 22
    • 64249116914 scopus 로고    scopus 로고
    • Inpainting and zooming using sparse representations
    • revised
    • Fadili, M.J., Starck, J.-L., Murtagh, F.: Inpainting and zooming using sparse representations. Comput. J. (2006, revised)
    • (2006) Comput. J.
    • Fadili, M.J.1    Starck, J.-L.2    Murtagh, F.3
  • 24
    • 0026398342 scopus 로고
    • Unsupervised texture segmentation using Gabor filters
    • A.K. Jain F. Farrokhnia 1991 Unsupervised texture segmentation using Gabor filters Pattern Recogn. 24 12 1167 1186
    • (1991) Pattern Recogn. , vol.24 , Issue.12 , pp. 1167-1186
    • Jain, A.K.1    Farrokhnia, F.2
  • 25
    • 84937653646 scopus 로고
    • Visual pattern discrimination
    • B. Julesz 1962 Visual pattern discrimination IRE Trans. Inf. Theory 8 2 84 92
    • (1962) IRE Trans. Inf. Theory , vol.8 , Issue.2 , pp. 84-92
    • Julesz, B.1
  • 27
    • 33646038010 scopus 로고    scopus 로고
    • Texture optimization for example-based synthesis
    • Proc. of SIGGRAPH 2005
    • V. Kwatra I. Essa A. Bobick N. Kwatra 2005 Texture optimization for example-based synthesis ACM Trans. Graph. 24 3 795 802 Proc. of SIGGRAPH 2005
    • (2005) ACM Trans. Graph. , vol.24 , Issue.3 , pp. 795-802
    • Kwatra, V.1    Essa, I.2    Bobick, A.3    Kwatra, N.4
  • 28
    • 33646030942 scopus 로고    scopus 로고
    • Graphcut textures: Image and video synthesis using graph cuts
    • SIGGRAPH 2003
    • V. Kwatra A. Schödl I. Essa G. Turk A. Bobick 2003 Graphcut textures: Image and video synthesis using graph cuts ACM Trans. Graph. 22 3 277 286 SIGGRAPH 2003
    • (2003) ACM Trans. Graph. , vol.22 , Issue.3 , pp. 277-286
    • Kwatra, V.1    Schödl, A.2    Essa, I.3    Turk, G.4    Bobick, A.5
  • 30
    • 33646018058 scopus 로고    scopus 로고
    • Parallel controllable texture synthesis
    • S. Lefebvre H. Hoppe 2005 Parallel controllable texture synthesis ACM Trans. Graph. 24 3 777 786
    • (2005) ACM Trans. Graph. , vol.24 , Issue.3 , pp. 777-786
    • Lefebvre, S.1    Hoppe, H.2
  • 31
    • 33748563832 scopus 로고    scopus 로고
    • Appearance-space texture synthesis
    • S. Lefebvre H. Hoppe 2006 Appearance-space texture synthesis ACM Trans. Graph. 25 3 541 548
    • (2006) ACM Trans. Graph. , vol.25 , Issue.3 , pp. 541-548
    • Lefebvre, S.1    Hoppe, H.2
  • 32
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • M.S. Lewicki T.J. Sejnowski 2000 Learning overcomplete representations Neural Comput. 12 2 337 365
    • (2000) Neural Comput. , vol.12 , Issue.2 , pp. 337-365
    • Lewicki, M.S.1    Sejnowski, T.J.2
  • 34
    • 39149089704 scopus 로고    scopus 로고
    • Sparse representation for color image restoration
    • J. Mairal M. Elad G. Sapiro 2008 Sparse representation for color image restoration IEEE Trans. Image Process. 17 1 53 69
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.1 , pp. 53-69
    • Mairal, J.1    Elad, M.2    Sapiro, G.3
  • 37
    • 0033284387 scopus 로고    scopus 로고
    • Independent component analysis of textures
    • Manduchi, R., Portilla, J.: Independent component analysis of textures. In: ICCV, pp. 1054-1060 (1999)
    • (1999) ICCV , pp. 1054-1060
    • Manduchi, R.1    Portilla, J.2
  • 38
    • 33646057364 scopus 로고    scopus 로고
    • Texture design using a simplicial complex of morphable textures
    • W. Matusik M. Zwicker F. Durand 2005 Texture design using a simplicial complex of morphable textures ACM Trans. Graph. 24 3 787 794
    • (2005) ACM Trans. Graph. , vol.24 , Issue.3 , pp. 787-794
    • Matusik, W.1    Zwicker, M.2    Durand, F.3
  • 39
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive-field properties by learning a sparse code for natural images
    • B.A. Olshausen D.J. Field 1996 Emergence of simple-cell receptive-field properties by learning a sparse code for natural images Nature 381 6583 607 609
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 40
    • 0036474209 scopus 로고    scopus 로고
    • Geodesic active regions and level set methods for supervised texture segmentation
    • N. Paragios R. Deriche 2002 Geodesic active regions and level set methods for supervised texture segmentation Int. J. Comput. Vis. 46 3 223 247
    • (2002) Int. J. Comput. Vis. , vol.46 , Issue.3 , pp. 223-247
    • Paragios, N.1    Deriche, R.2
  • 41
    • 0022095751 scopus 로고
    • An image synthesizer
    • Assoc. Comput. Mach. New York
    • Perlin, K.: An image synthesizer. In: Proc. of SIGGRAPH'85, pp. 287-296. Assoc. Comput. Mach., New York (1985)
    • (1985) Proc. of SIGGRAPH'85 , pp. 287-296
    • Perlin, K.1
  • 42
    • 37248999482 scopus 로고    scopus 로고
    • Non-negative sparse modeling of textures
    • Peyré, G.: Non-negative sparse modeling of textures. In: Proc. of SSVM'07, pp. 628-639 (2007)
    • (2007) Proc. of SSVM'07 , pp. 628-639
    • Peyré, G.1
  • 43
    • 67349204217 scopus 로고    scopus 로고
    • Manifold models for signals and images
    • to appear
    • Peyré, G.: Manifold models for signals and images. Comput. Vis. Image Underst. (2008, to appear)
    • (2008) Comput. Vis. Image Underst.
    • Peyré, G.1
  • 44
    • 0034291204 scopus 로고    scopus 로고
    • A parametric texture model based on joint statistics of complex wavelet coefficients
    • J. Portilla E.P. Simoncelli 2000 A parametric texture model based on joint statistics of complex wavelet coefficients Int. J. Comput. Vis. 40 1 49 70
    • (2000) Int. J. Comput. Vis. , vol.40 , Issue.1 , pp. 49-70
    • Portilla, J.1    Simoncelli, E.P.2
  • 45
    • 85156243451 scopus 로고    scopus 로고
    • Learning sparse multiscale image representations
    • MIT Press Cambridge
    • Sallee, P., Olshausen, B.A.: Learning sparse multiscale image representations. In: Becker, S., Thrun, S., Obermayer, K. (eds.) NIPS, pp. 1327-1334. MIT Press, Cambridge (2002)
    • (2002) NIPS , pp. 1327-1334
    • Sallee, P.1    Olshausen, B.A.2    Becker, S.3    Thrun, S.4    Obermayer, K.5
  • 46
    • 0034934777 scopus 로고    scopus 로고
    • Natural image statistics and neural representation
    • E.P. Simoncelli B.A. Olshausen 2001 Natural image statistics and neural representation Ann. Rev. Neurosci. 24 1193 1215
    • (2001) Ann. Rev. Neurosci. , vol.24 , pp. 1193-1215
    • Simoncelli, E.P.1    Olshausen, B.A.2
  • 47
    • 33645694560 scopus 로고    scopus 로고
    • Texture classification using sparse frame based representations
    • K. Skretting J.H. Husoy 2006 Texture classification using sparse frame based representations EURASIP J. Appl. Signal Process. 2006 1 102 102
    • (2006) EURASIP J. Appl. Signal Process. , vol.2006 , Issue.1 , pp. 102-102
    • Skretting, K.1    Husoy, J.H.2
  • 48
    • 3142656055 scopus 로고    scopus 로고
    • Redundant multiscale transforms and their application for morphological component analysis
    • J.-L. Starck M. Elad D.L. Donoho 2004 Redundant multiscale transforms and their application for morphological component analysis Adv. Imaging Electron Phys. 132 287 348
    • (2004) Adv. Imaging Electron Phys. , vol.132 , pp. 287-348
    • Starck, J.-L.1    Elad, M.2    Donoho, D.L.3
  • 49
    • 5444237123 scopus 로고    scopus 로고
    • Greed is good: Algorithmic results for sparse approximation
    • J.A. Tropp 2004 Greed is good: algorithmic results for sparse approximation IEEE Trans. Inf. Theory 50 10 2231 2242
    • (2004) IEEE Trans. Inf. Theory , vol.50 , Issue.10 , pp. 2231-2242
    • Tropp, J.A.1
  • 50
    • 33645712308 scopus 로고    scopus 로고
    • Just relax: Convex programming methods for identifying sparse signals in noise
    • J.A. Tropp 2006 Just relax: convex programming methods for identifying sparse signals in noise IEEE Trans. Inf. Theory 52 3 1030 1051
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.3 , pp. 1030-1051
    • Tropp, J.A.1
  • 51
    • 17144426986 scopus 로고    scopus 로고
    • Vector-valued image regularization with PDEs: A common framework for different applications
    • D. Tschumperlé R. Deriche 2005 Vector-valued image regularization with PDEs: A common framework for different applications IEEE Trans. Pattern Anal. Mach. Intell. 27 4 506 517
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.4 , pp. 506-517
    • Tschumperlé, D.1    Deriche, R.2
  • 52
    • 0035533631 scopus 로고    scopus 로고
    • Convergence of a block coordinate descent method for nondifferentiable minimization
    • P. Tseng 2001 Convergence of a block coordinate descent method for nondifferentiable minimization J. Optim. Theory Appl. 109 3 475 494
    • (2001) J. Optim. Theory Appl. , vol.109 , Issue.3 , pp. 475-494
    • Tseng, P.1
  • 53
    • 0028467103 scopus 로고
    • Moment-based texture segmentation
    • M. Tuceryan 1994 Moment-based texture segmentation Pattern Recogn. Lett. 15 7 659 668
    • (1994) Pattern Recogn. Lett. , vol.15 , Issue.7 , pp. 659-668
    • Tuceryan, M.1
  • 56
    • 24944474841 scopus 로고    scopus 로고
    • Selection of ICA features for texture classification
    • Zeng, X.-Y., Chen, Y.-W., van Alphen, D., Nakao, Z.: Selection of ICA features for texture classification. In: ISNN (2), pp. 262-267 (2005)
    • (2005) ISNN , Issue.2 , pp. 262-267
    • Zeng, X.-Y.1    Chen, Y.-W.2    Van Alphen, D.3    Nakao, Z.4
  • 57
    • 0034205013 scopus 로고    scopus 로고
    • Exploring texture ensembles by efficient Markov chain Monte Carlo-toward a 'trichromacy' theory of texture
    • S.C. Zhu X.W. Liu Y.N. Wu 2000 Exploring texture ensembles by efficient Markov chain Monte Carlo-toward a 'trichromacy' theory of texture IEEE Trans. Pattern Anal. Mach. Intell. 22 6 554 569
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.6 , pp. 554-569
    • Zhu, S.C.1    Liu, X.W.2    Wu, Y.N.3
  • 58
    • 0032025550 scopus 로고    scopus 로고
    • Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling
    • S.C. Zhu Y. Wu D. Mumford 1998 Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling Int. J. Comput. Vis. 27 2 107 126
    • (1998) Int. J. Comput. Vis. , vol.27 , Issue.2 , pp. 107-126
    • Zhu, S.C.1    Wu, Y.2    Mumford, D.3


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