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Volumn 30, Issue 1, 2012, Pages 80-100

On algorithms for automatic deblurring from a single image

Author keywords

Blind deconvolution; Framelet; Generalized cross validation; Iterative methods; Total variation

Indexed keywords


EID: 84863256215     PISSN: 02549409     EISSN: None     Source Type: Journal    
DOI: 10.4208/jcm.1110-m11si13     Document Type: Article
Times cited : (15)

References (41)
  • 3
    • 0005063803 scopus 로고    scopus 로고
    • Motion deblurring and super-resolution from an image sequence
    • B. Bascle, A. Blake, and A. Zisserman, Motion deblurring and super-resolution from an image sequence, In ECCV, (1996), 573-582.
    • (1996) ECCV , pp. 573-582
    • Bascle, B.1    Blake, A.2    Zisserman, A.3
  • 4
    • 3042676200 scopus 로고    scopus 로고
    • Motion-based motion deblurring
    • M. Ben-Ezra and S.K. Nayar, Motion-based motion deblurring, IEEE Trans. PAMI, 26 (2004), 689-698.
    • (2004) IEEE Trans. PAMI , vol.26 , pp. 689-698
    • Ben-Ezra, M.1    Nayar, S.K.2
  • 6
    • 70450171076 scopus 로고    scopus 로고
    • Blurred/non-blurred image alignment using an image sequence
    • Y. Lu, J. Sun, L. Quan, and H. Shum, Blurred/non-blurred image alignment using an image sequence, In SIGGRAPH, 2007.
    • (2007) SIGGRAPH
    • Lu, Y.1    Sun, J.2    Quan, L.3    Shum, H.4
  • 7
    • 12344260639 scopus 로고    scopus 로고
    • Two motion blurred images are better than one
    • A. Rav-Acha, and S. Peleg, Two motion blurred images are better than one, Pattern Recogn. Lett., 26 (2005), 311-317.
    • (2005) Pattern Recogn. Lett. , vol.26 , pp. 311-317
    • Rav-Acha, A.1    Peleg, S.2
  • 8
    • 57149115404 scopus 로고    scopus 로고
    • Image deblurring with blurred/noisy image pairs
    • L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, Image deblurring with blurred/noisy image pairs, In SIGGRAPH, 2007.
    • (2007) SIGGRAPH
    • Yuan, L.1    Sun, J.2    Quan, L.3    Shum, H.-Y.4
  • 9
    • 0032099645 scopus 로고    scopus 로고
    • Out-of-focus blur estimation and restoration for digital auto-focusing system
    • S.K. Kim, and J.K. Paik, Out-of-focus blur estimation and restoration for digital auto-focusing system, Electron. Lett., 34 (1998), 1217-1219.
    • (1998) Electron. Lett. , vol.34 , pp. 1217-1219
    • Kim, S.K.1    Paik, J.K.2
  • 10
    • 3543127719 scopus 로고    scopus 로고
    • A Variational approach for Bayesian blind image deconvolution
    • A. Likas, and N. Galatsanos, A Variational approach for bayesian blind image deconvolution, IEEE T. Signal Proces., 52 (2004), 2222-2233.
    • (2004) IEEE T. Signal Proces. , vol.52 , pp. 2222-2233
    • Likas, A.1    Galatsanos, N.2
  • 13
    • 51949092882 scopus 로고    scopus 로고
    • Motion from blur
    • S. Dai, and Y. Wu, Motion from Blur, CVPR, 2008.
    • (2008) CVPR
    • Dai, S.1    Wu, Y.2
  • 14
    • 35148886210 scopus 로고    scopus 로고
    • Single image motion deblurring using transparency
    • J. Jia, Single Image Motion Deblurring Using Transparency, CVPR, 2007.
    • (2007) CVPR
    • Jia, J.1
  • 15
    • 49249099286 scopus 로고    scopus 로고
    • High-quality motion deblurring from a single image
    • Q. Shan, J. Jia, and A. Agarwala, High-quality motion deblurring from a single image, In SIGGRAPH, 2008.
    • (2008) SIGGRAPH
    • Shan, Q.1    Jia, J.2    Agarwala, A.3
  • 16
    • 80052881205 scopus 로고    scopus 로고
    • Two-phase kernel estimation for robust motion deblurring
    • L. Xu and J. Jia, Two-Phase Kernel Estimation for Robust Motion Deblurring, ECCV 2010.
    • (2010) ECCV
    • Xu, L.1    Jia, J.2
  • 17
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • L. Rudin, S. Osher and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D, 60 (1992), 259-268.
    • (1992) Physica D , vol.60 , pp. 259-268
    • Rudin, L.1    Osher, S.2    Fatemi, E.3
  • 18
    • 0032028980 scopus 로고    scopus 로고
    • Total variation blind deconvolution
    • T.F. Chan and C.K. Wong, Total variation blind deconvolution, IEEE T. Image Process., 7:3 (1998), 370-375.
    • (1998) IEEE T. Image Process. , vol.7 , Issue.3 , pp. 370-375
    • Chan, T.F.1    Wong, C.K.2
  • 19
    • 0033100575 scopus 로고    scopus 로고
    • Blind image restoration by anisotropic regularization
    • Y. You and M. Kaveh, Blind image restoration by anisotropic regularization, IEEE T. Image Process., 8:3 (1999), 396-407.
    • (1999) IEEE T. Image Process. , vol.8 , Issue.3 , pp. 396-407
    • You, Y.1    Kaveh, M.2
  • 20
    • 84863248484 scopus 로고    scopus 로고
    • An augmented lagrangian method for total variation image restoration
    • submitted, under review
    • S. Chan, P. Gill, and T. Nguyen, An Augmented Lagrangian Method for Total Variation Image Restoration, IEEE TIP, 2010, submitted, under review.
    • (2010) IEEE TIP
    • Chan, S.1    Gill, P.2    Nguyen, T.3
  • 21
    • 50049091183 scopus 로고    scopus 로고
    • Lipschitz and total-variational regularization for blind deconvolution
    • Y. Huang and M. Ng, Lipschitz and total-variational regularization for blind deconvolution, Commun. Comput. Phys., 4 (2008), 195-206.
    • (2008) Commun. Comput. Phys. , vol.4 , pp. 195-206
    • Huang, Y.1    Ng, M.2
  • 25
    • 32044449925 scopus 로고
    • Generalized cross-validation as a method for choosing a good ridge parameter
    • G. Golub, M. Heath, and G. Wahba, Generalized cross-validation as a method for choosing a good ridge parameter, Technometrics, 21 (1979), 215-223.
    • (1979) Technometrics , vol.21 , pp. 215-223
    • Golub, G.1    Heath, M.2    Wahba, G.3
  • 27
    • 0001086847 scopus 로고
    • Fast computation of a discretized thin-plate smoothing spline for image data
    • M. Buckley, Fast computation of a discretized thin-plate smoothing spline for image data, Biometrika, 81 (1994), 247-258.
    • (1994) Biometrika , vol.81 , pp. 247-258
    • Buckley, M.1
  • 28
    • 21844500518 scopus 로고    scopus 로고
    • Generalization of Strang's preconditioner with applications to Toeplitz least squares problems
    • R. Chan, M. Ng, and R. Plemmons, Generalization of Strang's preconditioner with applications to Toeplitz least squares problems, J. Numer. Linear Algebra Appl., 3 (1996), 45-64.
    • (1996) J. Numer. Linear Algebra Appl. , vol.3 , pp. 45-64
    • Chan, R.1    Ng, M.2    Plemmons, R.3
  • 31
    • 34249880413 scopus 로고    scopus 로고
    • Deconvolution: a wavelet frame approach
    • A. Chai, and Z. Shen, Deconvolution: a wavelet frame approach, Numer. Math., 106 (2007), 529-587.
    • (2007) Numer. Math. , vol.106 , pp. 529-587
    • Chai, A.1    Shen, Z.2
  • 32
    • 38949172340 scopus 로고    scopus 로고
    • A framelet-based image inpainting algorithm
    • J.-F. Cai, R. H. Chan, and Z. Shen, A framelet-based image inpainting algorithm, Appl. Comput. Harmon. A., 24 (2008), 131-149.
    • (2008) Appl. Comput. Harmon. A. , vol.24 , pp. 131-149
    • Cai, J.-F.1    Chan, R.H.2    Shen, Z.3
  • 33
    • 0031571549 scopus 로고    scopus 로고
    • d): the analysis of the analysis operator
    • d): the analysis of the analysis operator, J. Funct. A., 148 (1996), 408-447.
    • (1996) J. Funct. A. , vol.148 , pp. 408-447
    • Ron, A.1    Shen, Z.2
  • 34
    • 50649115119 scopus 로고    scopus 로고
    • A variational framework for simultaneous motion estimation and restoration of motion-blurred video
    • L. Bar, B. Berkels, M. Rumpf, and G. Sapiro, A variational framework for simultaneous motion estimation and restoration of motion-blurred video, In ICCV, 2007.
    • (2007) ICCV
    • Bar, L.1    Berkels, B.2    Rumpf, M.3    Sapiro, G.4
  • 35
    • 55149111865 scopus 로고    scopus 로고
    • A fast total variation minimization method for image restoration
    • Y. Huang, M. Ng and Y. Wen, A fast total variation minimization method for image restoration, SIAM J. Multiscale Model. Simul., 7 (2008), 774-795.
    • (2008) SIAM J. Multiscale Model. Simul. , vol.7 , pp. 774-795
    • Huang, Y.1    Ng, M.2    Wen, Y.3
  • 36
    • 1242352408 scopus 로고    scopus 로고
    • An algorithm for total variation minimization and applications
    • A. Chambolle, An algorithm for total variation minimization and applications, J. Math. Imaging Vis., 20 (2004), 89-97.
    • (2004) J. Math. Imaging Vis. , vol.20 , pp. 89-97
    • Chambolle, A.1
  • 37
    • 34247549668 scopus 로고    scopus 로고
    • On semismooth Newton's methods for total variation minimization
    • M. Ng, L. Qi, Y. Yang, and Y. Huang, On semismooth Newton's methods for total variation minimization, J. Math. Imaging Vis., 27 (2007), 265-276.
    • (2007) J. Math. Imaging Vis. , vol.27 , pp. 265-276
    • Ng, M.1    Qi, L.2    Yang, Y.3    Huang, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.