Negative results for multilevel preconditioners in image deblurring

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1682, Issue , 1999, Pages 489-494

  Vogel, C R ^a  

^a MONTANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ITERATIVE METHODS; LINEAR SYSTEMS; ONE DIMENSIONAL;

DECONVOLUTION PROBLEM; IMAGE DEBLURRING; MULTILEVEL PRECONDITIONERS; NUMERICAL EXPERIMENTS; NUMERICAL RESULTS; PRECONDITIONED ITERATIVE METHODS; PRECONDITIONERS;

IMAGE ENHANCEMENT;

EID: 84948127120     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48236-9_48     Document Type: Conference Paper

References (8)

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3. R. H. Chan, M. K. Ng and R. J. Plemmons, Generalization of Strang’s preconditioner with applications to Toeplitz least squares problems, Numerical Lin. Alg. and Applications, 3 (1996), pp. 45-64.
4. H. Engl, M. Hanke, and A. Neubauer, Regularization of Inverse Problems, Kluwer Academic Publishers, Dordrecht, 1996.
5. M. Hanke and C. R. Vogel, Two-Level Preconditioners for Regularized Inverse Problems I: Theory, Numer. Math., to appear.
6. A. Rieder, A wavelet multilevel method for ill-posed problems stablized by Tikhonov regularization, Numer. Math., 75 (1997), 501-522.
7. G. Strang, A Proposal for Toeplitz Matrix Calculations, Stud. Appl. Math, 74 (1986), 171-176.
8. C. R. Vogel and M. Hanke, Two-level preconditioners for regularized inverse problems II: Implementation and numerical results, SIAM J. Sci. Comput., to appear.