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Applied Mathematics and Computation
Volumn 189, Issue 2, 2007, Pages 1178-1185
Convergence of fixed point iteration for deblurring and denoising problem
Author keywords

Bergman distance; Deblurring; Denoising; Fixed point iteration; Weiszfeld's method
Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ESTIMATION; PROBLEM SOLVING;
EID: 34249076735     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2006.12.004     Document Type: Article
Times cited : (8)
References (11)
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  • 5
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    • Chang Q., and Chen I. Acceleration methods for total variation-based image denoising. SIAM J. Sci. Comput. 25 (2003) 982-994
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    • Chang, Q.1    Chen, I.2
  • 6
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    • An iterative regularization method for total variation based image restoration
    • Osher S., Burger M., Goldfarb D., Xu J., and Yin W. An iterative regularization method for total variation based image restoration. Multiscale Model. Simulat. 4 (2005) 460-489
    • (2005) Multiscale Model. Simulat. , vol.4 , pp. 460-489
    • Osher, S.1    Burger, M.2    Goldfarb, D.3    Xu, J.4    Yin, W.5
  • 7
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  • 9
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    • Convergence of an iterative method for total variation denoising
    • Dobson D.C., and Vogel C.R. Convergence of an iterative method for total variation denoising. SIAM J. Numer. Anal. 5 (1997) 1779-1791
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.