메뉴 건너뛰기




Volumn 1, Issue 3, 2008, Pages 228-247

Sparse and redundant modeling of image content using an image-signature-dictionary

Author keywords

Denoising; Dictionary; Image signature; Learning; Matching pursuit; MOD; Sparse representation

Indexed keywords

COMPUTER VISION; GLOSSARIES; PATTERN RECOGNITION;

EID: 67349251766     PISSN: None     EISSN: 19364954     Source Type: Journal    
DOI: 10.1137/07070156X     Document Type: Article
Times cited : (151)

References (42)
  • 2
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representation
    • M. Aharon, M. Elad, and A.M. Bruckstein, K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representation, IEEE Trans. Signal Process., 54 (2006), pp. 4311-4322.
    • (2006) IEEE Trans. Signal Process. , vol.54 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.M.3
  • 3
    • 33646712150 scopus 로고    scopus 로고
    • On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them
    • M. Aharon, M. Elad, and A.M. Bruckstein, On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them, Linear Algebra Appl., 416 (2006), pp. 48-67.
    • (2006) Linear Algebra Appl. , vol.416 , pp. 48-67
    • Aharon, M.1    Elad, M.2    Bruckstein, A.M.3
  • 4
    • 0003496901 scopus 로고    scopus 로고
    • Kluwer Academic Publishers, Dordrecht, The Netherlands
    • J.F. Bard, Practical Bilevel Optimization, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1998.
    • (1998) Practical Bilevel Optimization
    • Bard, J.F.1
  • 9
    • 0028479335 scopus 로고
    • Adapted waveform analysis as a tool for modeling, feature extraction, and denoising
    • R.R. Coifman and M.V. Wickerhauser, Adapted waveform analysis as a tool for modeling, feature extraction, and denoising, Optical Engineering, 33 (1994), pp. 2170-2174.
    • (1994) Optical Engineering , vol.33 , pp. 2170-2174
    • Coifman, R.R.1    Wickerhauser, M.V.2
  • 10
    • 34547760736 scopus 로고    scopus 로고
    • Image denoising by sparse 3D transformdomain collaborative filtering
    • K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, Image denoising by sparse 3D transformdomain collaborative filtering, IEEE Trans. Image Process., 16 (2007), pp. 2080-2095.
    • (2007) IEEE Trans. Image Process. , vol.16 , pp. 2080-2095
    • Dabov, K.1    Foi, A.2    Katkovnik, V.3    Egiazarian, K.4
  • 11
    • 28944432472 scopus 로고    scopus 로고
    • The contourlet transform: An efficient directional multiresolution image representation
    • M.N. Do and M. Vetterli, The contourlet transform: An efficient directional multiresolution image representation, IEEE Trans. Image Process., 14 (2005), pp. 2091-2106.
    • (2005) IEEE Trans. Image Process. , vol.14 , pp. 2091-2106
    • Do, M.N.1    Vetterli, M.2
  • 13
    • 30844455150 scopus 로고    scopus 로고
    • On the stability of the basis pursuit in the presence of noise
    • D.L. Donoho and M. Elad, On the stability of the basis pursuit in the presence of noise, Signal Process., 86 (2006), pp. 511-532.
    • (2006) Signal Process. , vol.86 , pp. 511-532
    • Donoho, D.L.1    Elad, M.2
  • 14
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • D.L. Donoho, M. Elad, and V. Temlyakov, Stable recovery of sparse overcomplete representations in the presence of noise, IEEE Trans. Inform. Theory, 52 (2006), pp. 6-18.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , pp. 6-18
    • Donoho, D.L.1    Elad, M.2    Temlyakov, V.3
  • 16
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • M. Elad and M. Aharon, Image denoising via sparse and redundant representations over learned dictionaries, IEEE Trans. Image Process., 15 (2006), pp. 3736-3745.
    • (2006) IEEE Trans. Image Process. , vol.15 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 18
    • 37849188832 scopus 로고    scopus 로고
    • Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation
    • K. Engan, K. Skretting, and J.H. Husøy, Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation, Digit. Signal Process., 17 (2007), pp. 32-49.
    • (2007) Digit. Signal Process. , vol.17 , pp. 32-49
    • Engan, K.1    Skretting, K.2    Husøy, J.H.3
  • 20
    • 2942640138 scopus 로고    scopus 로고
    • On sparse representations in arbitrary redundant bases
    • J.J. Fuchs, On sparse representations in arbitrary redundant bases, IEEE Trans. Inform. Theory, 50 (2004), pp. 1341-1344.
    • (2004) IEEE Trans. Inform. Theory , vol.50 , pp. 1341-1344
    • Fuchs, J.J.1
  • 21
    • 26844461512 scopus 로고    scopus 로고
    • Recovery of exact sparse representations in the presence of bounded noise
    • J.J. Fuchs, Recovery of exact sparse representations in the presence of bounded noise, IEEE Trans. Inform. Theory, 51 (2005), pp. 3601-3608.
    • (2005) IEEE Trans. Inform. Theory , vol.51 , pp. 3601-3608
    • Fuchs, J.J.1
  • 22
    • 0031102203 scopus 로고    scopus 로고
    • Sparse signal reconstruction from limited data using FOCUSS: A re-weighted norm minimization algorithm
    • I.F. Gorodnitsky and B.D. Rao, Sparse signal reconstruction from limited data using FOCUSS: A re-weighted norm minimization algorithm, IEEE Trans. Signal Process., 45 (1997), pp. 600-616.
    • (1997) IEEE Trans. Signal Process. , vol.45 , pp. 600-616
    • Gorodnitsky, I.F.1    Rao, B.D.2
  • 23
    • 30844450612 scopus 로고    scopus 로고
    • A simple test to check the optimality of a sparse signal approximation
    • R. Gribonval, R. Figueras, and P. Vandergheynst, A simple test to check the optimality of a sparse signal approximation, Signal Process., 86 (2006), pp. 496-510.
    • (2006) Signal Process. , vol.86 , pp. 496-510
    • Gribonval, R.1    Figueras, R.2    Vandergheynst, P.3
  • 24
    • 0347968052 scopus 로고    scopus 로고
    • Sparse decompositions in unions of bases
    • R. Gribonval and M. Nielsen, Sparse decompositions in unions of bases, IEEE Trans. Inform. Theory, 49 (2003), pp. 3320-3325.
    • (2003) IEEE Trans. Inform. Theory , vol.49 , pp. 3320-3325
    • Gribonval, R.1    Nielsen, M.2
  • 25
    • 36749034793 scopus 로고    scopus 로고
    • Weighted averaging for denoising with overcomplete dictionaries
    • O.G. Guleryuz, Weighted averaging for denoising with overcomplete dictionaries, IEEE Trans. Image Process., 16 (2007), pp. 3020-3034.
    • (2007) IEEE Trans. Image Process. , vol.16 , pp. 3020-3034
    • Guleryuz, O.G.1
  • 30
    • 39149089704 scopus 로고    scopus 로고
    • Sparse representation for color image restoration
    • J. Mairal, M. Elad, and G. Sapiro, Sparse representation for color image restoration, IEEE Trans. Image Process., 17 (2008), pp. 53-69.
    • (2008) IEEE Trans. Image Process. , vol.17 , pp. 53-69
    • Mairal, J.1    Elad, M.2    Sapiro, G.3
  • 31
    • 17544369568 scopus 로고    scopus 로고
    • Sparse geometric image representation with bandelets
    • S. Mallat and E. LePennec, Sparse geometric image representation with bandelets, IEEE Trans. Image Process., 14 (2005), pp. 423-438.
    • (2005) IEEE Trans. Image Process. , vol.14 , pp. 423-438
    • Mallat, S.1    LePennec, E.2
  • 32
    • 0027842081 scopus 로고
    • Matching pursuits with time-frequency dictionaries
    • S. Mallat and Z. Zhang, Matching pursuits with time-frequency dictionaries, IEEE Trans. Signal Process., 41 (1993), pp. 3397-3415.
    • (1993) IEEE Trans. Signal Process. , vol.41 , pp. 3397-3415
    • Mallat, S.1    Zhang, Z.2
  • 33
    • 0029291966 scopus 로고
    • Sparse approximate solutions to linear systems
    • B.K. Natarajan, Sparse approximate solutions to linear systems, SIAM J. Comput., 24 (1995), pp. 227-234.
    • (1995) SIAM J. Comput. , vol.24 , pp. 227-234
    • Natarajan, B.K.1
  • 34
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B.A. Olshausen and B.J. Field, Emergence of simple-cell receptive field properties by learning a sparse code for natural images, Nature, 381 (1997), pp. 607-609.
    • (1997) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, B.J.2
  • 35
    • 0027814133 scopus 로고
    • Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition
    • Systems, and Computers
    • Y.C. Pati, R. Rezaiifar, and P.S. Krishnaprasad, Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition, in Proceedings of the 27th Annual Asilomar Conference on Signals, Systems, and Computers, 1993, pp. 40-44.
    • (1993) Proceedings of the 27th Annual Asilomar Conference on Signals , pp. 40-44
    • Pati, Y.C.1    Rezaiifar, R.2    Krishnaprasad, P.S.3
  • 38
    • 58449108733 scopus 로고    scopus 로고
    • Image sequence denoising via sparse and redundant representations
    • to appear
    • M. Protter and M. Elad, Image sequence denoising via sparse and redundant representations, IEEE Trans. Image Process., to appear.
    • IEEE Trans. Image Process.
    • Protter, M.1    Elad, M.2
  • 39
    • 33645694560 scopus 로고    scopus 로고
    • Texture classification using sparse frame-based representation
    • K. Skretting and J.H. Husøy, Texture classification using sparse frame-based representation, EURASIP J. Appl. Signal Process., 2006 (2006), article ID 52561.
    • (2006) EURASIP J. Appl. Signal Process. , vol.2006
    • Skretting, K.1    Husøy, J.H.2
  • 41
    • 5444237123 scopus 로고    scopus 로고
    • Greed is good: Algorithmic results for sparse approximation
    • J.A. Tropp, Greed is good: Algorithmic results for sparse approximation, IEEE Trans. Inform. Theory, 50 (2004), pp. 2231-2242.
    • (2004) IEEE Trans. Inform. Theory , vol.50 , pp. 2231-2242
    • Tropp, J.A.1
  • 42
    • 33645712308 scopus 로고    scopus 로고
    • Just relax: Convex programming methods for subset selection and sparse approximation
    • J.A. Tropp, Just relax: Convex programming methods for subset selection and sparse approximation, IEEE Trans. Inform. Theory, 52 (2006), pp. 1030-1051.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , pp. 1030-1051
    • Tropp, J.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.