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Volumn , Issue , 2014, Pages 1102-1105

Non-local extension of total variation regularization for image restoration

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE DENOISING; IMAGE RECONSTRUCTION;

EID: 84907406283     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2014.6865332     Document Type: Conference Paper
Times cited : (17)

References (12)
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  • 2
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  • 3
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  • 4
    • 1242352408 scopus 로고    scopus 로고
    • An algorithm for total variation minimization and applications
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    • Chambolle, A.1
  • 5
    • 0031492191 scopus 로고    scopus 로고
    • Image recovery via total variation minimization and related problems
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    • Chambolle, A.1    Lions, P.L.2
  • 7
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    • A new alternating minimization algorithm for total variation image reconstruction
    • Y. Wang, J. Yang, W. Yin, and Y. Zhang, "A new alternating minimization algorithm for total variation image reconstruction", SIAM J. Imaging Sci., vol. 1, no. 3, pp. 248-272, 2008.
    • (2008) SIAM J. Imaging Sci. , vol.1 , Issue.3 , pp. 248-272
    • Wang, Y.1    Yang, J.2    Yin, W.3    Zhang, Y.4
  • 8
    • 84969334819 scopus 로고    scopus 로고
    • The split bregman algorithm for l1 regularized problems
    • T. Goldstein, S. Osher, "The Split Bregman Algorithm for L1 Regularized Problems," SIAM J. Imaging Sci., vol. 2, pp. 323-343, 2009.
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  • 9
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    • Fast image recovery using variable splitting and constrained optimization
    • September
    • M. Afonso, J. Bioucas-Dias, and M. Figueiredo, "Fast image recovery using variable splitting and constrained optimization," IEEE Trans. on Image Processing, vol. 19, no. 9, pp. 2345-2356, September, 2010.
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  • 10
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    • Split Bregman methods and frame based image restoration
    • J. F. Cai, S. Osher, and Z. W. Shen, "Split Bregman methods and frame based image restoration," Multiscale Model. Simul., vol. 8, pp. 5057-5071, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.