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Volumn , Issue , 2000, Pages 162-167

SAC-methods for image restoration

Author keywords

Convex formulations; Image restoration; Semi adaptive regularization

Indexed keywords

ADAPTIVE ALGORITHMS; IMAGE PROCESSING; INTEGRATION; MATHEMATICAL OPERATORS; OPTIMIZATION; PARAMETER ESTIMATION; SPURIOUS SIGNAL NOISE;

EID: 0007555758     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Article
Times cited : (3)

References (12)
  • 2
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    • Image recovery via total variation minimization and related problems
    • A. Chambolle and P. L. Lions, Image recovery via total variation minimization and related problems, Numerische Mathematik, Vol. 76, 1997, pp. 167-188.
    • (1997) Numerische Mathematik , vol.76 , pp. 167-188
    • Chambolle, A.1    Lions, P.L.2
  • 3
    • 4944267689 scopus 로고    scopus 로고
    • Second order differential functionds in total variationbased image restoration
    • Department of Mathematics, University of California, Los Angeles
    • T. Chan, A. Marquina, and P. Mulet, Second order differential functionds in total variationbased image restoration, Tech. Rep. CAM report 98-35, Department of Mathematics, University of California, Los Angeles, 1998.
    • (1998) Tech. Rep. CAM Report , vol.98 , Issue.35
    • Chan, T.1    Marquina, A.2    Mulet, P.3
  • 4
    • 0003343498 scopus 로고
    • Minimal surfaces and functions of bounded variation
    • Birkhäuser, Boston, Massachusetts
    • E. Giusti, Minimal Surfaces and Functions of Bounded Variation, vol. 80 of Monographs in Mathematics, Birkhäuser, Boston, Massachusetts, 1984.
    • (1984) Monographs in Mathematics , vol.80
    • Giusti, E.1
  • 5
    • 0033457563 scopus 로고    scopus 로고
    • An active set strategy based on the augmented Lagrangian formulation for image restoration
    • K. Ito and K. Kunisch, An active set strategy based on the augmented Lagrangian formulation for image restoration, M2AN Mathematical Modelling and Numerical Analysis, Vol. 33, No. 1, 1999, pp. 1-21.
    • (1999) M2AN Mathematical Modelling and Numerical Analysis , vol.33 , Issue.1 , pp. 1-21
    • Ito, K.1    Kunisch, K.2
  • 6
    • 0001592307 scopus 로고    scopus 로고
    • BV-type regularization methods for convoluted objects with edge, flat and grey scales
    • _, BV-type regularization methods for convoluted objects with edge, flat and grey scales, Inverse Problems, Vol. 16, 2000, pp. 909-928.
    • (2000) Inverse Problems , vol.16 , pp. 909-928
  • 7
    • 0033164216 scopus 로고    scopus 로고
    • Nonmonotone and monotone active-set methods for image restoration, Part 1: Convergence analysis
    • T. Kärkkäinen and K. Majava, Nonmonotone and monotone active-set methods for image restoration, Part 1: Convergence analysis, Journal of Optimization Theory and Applications, Vol. 106, No. 1, 2000, pp. 61-80.
    • (2000) Journal of Optimization Theory and Applications , vol.106 , Issue.1 , pp. 61-80
    • Kärkkäinen, T.1    Majava, K.2
  • 8
    • 0033164074 scopus 로고    scopus 로고
    • Nonmonotone and monotone active-set methods for image restoration, Part 2: Numerical results
    • _, Nonmonotone and monotone active-set methods for image restoration, Part 2: Numerical results, Journal of Optimization Theory and Applications, Vol. 106, No. 1, 2000, pp. 81-105.
    • (2000) Journal of Optimization Theory and Applications , vol.106 , Issue.1 , pp. 81-105
  • 9
    • 4944236193 scopus 로고    scopus 로고
    • Comparison of formulations and solution methods for image restoration
    • Department of Mathematical Information Technology, University of Jyväskylä
    • T. Kärkkäinen, K. Majava, and M. M. Mäkelä, Comparison of formulations and solution methods for image restoration, Tech.. Rep. B 14/2000, Department of Mathematical Information Technology, University of Jyväskylä, 2000.
    • (2000) Tech.. Rep. , vol.B 14-2000
    • Kärkkäinen, T.1    Majava, K.2    Mäkelä, M.M.3
  • 11
    • 0034412757 scopus 로고    scopus 로고
    • Structural properties of solutions to total variation regularization problems
    • W. Ring, Structural properties of solutions to total variation regularization problems, MSAN Mathematical Modelling and Numerical Analysis, Vol. 34, No. 4, 2000, pp. 799-810.
    • (2000) MSAN Mathematical Modelling and Numerical Analysis , vol.34 , Issue.4 , pp. 799-810
    • Ring, W.1
  • 12
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • L. I. Rudin, S. usher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D. Vol. 60, 1992, pp. 259-268.
    • (1992) Physica D. , vol.60 , pp. 259-268
    • Rudin, L.I.1    Usher, S.2    Fatemi, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.