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Volumn 5567 LNCS, Issue , 2009, Pages 389-400

Edge-enhanced image reconstruction using (TV) total variation and bregman refinement

Author keywords

Bregman iteration; Deconvolution; Edge preserving operators; Gaussian blur; Total variation regularization; Up down sampling

Indexed keywords

BREGMAN ITERATION; EDGE-PRESERVING OPERATORS; GAUSSIAN BLUR; TOTAL VARIATION REGULARIZATION; UP/DOWN SAMPLING;

EID: 69049097416     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02256-2_33     Document Type: Conference Paper
Times cited : (7)

References (14)
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    • Restoration of a single super-resolution image from several blurred,noisy, and undersampled measured images
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    • Elad, M.1    Feuer, A.2
  • 9
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    • A superresolution framework for fMRI sequences and its impact on resulting activation maps
    • Ellis, R.E, Peters, T.M, eds, MICCAI 2003, Springer, Heidelberg
    • Kornprobst, P., Peeters, R., Nikolova, M., Deriche, R., Ng, M., Van Hecke, P.: A superresolution framework for fMRI sequences and its impact on resulting activation maps. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 117-125. Springer, Heidelberg (2003)
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    • Kornprobst, P.1    Peeters, R.2    Nikolova, M.3    Deriche, R.4    Ng, M.5    Van Hecke, P.6
  • 10
    • 19844370110 scopus 로고    scopus 로고
    • An iterative regularization method for Total Variation-based image restoration
    • Osher, S.J., Burger, M., Goldfarb, D., Xu, J., Yin, W.: An iterative regularization method for Total Variation-based image restoration. Multiscale Modeling and Simulation 4(2), 460-489 (2005)
    • (2005) Multiscale Modeling and Simulation , vol.4 , Issue.2 , pp. 460-489
    • Osher, S.J.1    Burger, M.2    Goldfarb, D.3    Xu, J.4    Yin, W.5
  • 11
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    • Nonlinear Total Variation based noise removal algorithms
    • Rudin, L.I., Osher, S.J., Fatemi, E.: Nonlinear Total Variation based noise removal algorithms. Physica D 60(1-4), 259-268 (1992)
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    • Rudin, L.I.1    Osher, S.J.2    Fatemi, E.3
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    • High-resolution image recovery from image-plane arrays, using convex projections
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    • Image super-resolution by TV-regularization and Bregman iteration
    • Marquina, A., Osher, S.J.: Image super-resolution by TV-regularization and Bregman iteration. Journal of Scientific Computing 37(3), 367-382 (2008)
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    • Marquina, A.1    Osher, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.