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Volumn 56, Issue 4, 1996, Pages 1181-1198

Recovery of blocky images from noisy and blurred data

Author keywords

Deconvolution; Image enhancement; Image recovery; Minimal total variation

Indexed keywords

BOUNDARY CONDITIONS; DATA STRUCTURES; IMAGE ENHANCEMENT; OPTIMIZATION; PIECEWISE LINEAR TECHNIQUES; SPURIOUS SIGNAL NOISE;

EID: 0030212858     PISSN: 00361399     EISSN: None     Source Type: Journal    
DOI: 10.1137/S003613999427560X     Document Type: Article
Times cited : (211)

References (13)
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    • to appear
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    • IEEE Trans. Image Proc.
    • Li, Y.1    Santosa, F.2
  • 8
    • 85033852947 scopus 로고
    • Denoising and Deblurring Images Using Constrained Nonlinear Partial Differential Equations
    • Cognitech Inc., Santa Monica, CA, technical report, submitted to
    • P. L. LIONS, S. OSHER, AND L. I. RUDIN, Denoising and Deblurring Images Using Constrained Nonlinear Partial Differential Equations, Cognitech Inc., Santa Monica, CA, technical report, 1992, submitted to SIAM J. Numer. Anal.
    • (1992) SIAM J. Numer. Anal.
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  • 9
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    • Feature-oriented image enhancement using shock filters
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  • 10
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    • Nonlinear total variation based noise removal algorithms
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    • Rudin, L.I.1    Osher, S.2    Fatemi, E.3
  • 12
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    • Linear inversion of band-limited reflection seismograms
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  • 13
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    • Iterative methods for total variation denoising
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.