Iterative total variation schemes for nonlinear inverse problems

Inverse Problems

Volumn 25, Issue 10, 2009, Pages

  Bachmayr, Markus ^a   Burger, Martin ^b  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE ANALYSIS; CONVEX OPTIMIZATION PROBLEMS; DATA NOISE; DEBLURRING; DISTRIBUTED PARAMETER ESTIMATION; ELLIPTIC PARTIAL DIFFERENTIAL EQUATION; IMAGE DE-NOISING; ITERATIVE SCHEMES; LEVENBERG-MARQUARDT; NON-LINEAR INVERSE PROBLEM; NON-LINEARITY; SOLUTION OF INVERSE PROBLEMS; STOPPING RULE; SUB-PROBLEMS; TOTAL VARIATION; TOTAL VARIATION REGULARIZATION;

CONVEX OPTIMIZATION; HILBERT SPACES; IMAGE PROCESSING; PARAMETER ESTIMATION; PARTIAL DIFFERENTIAL EQUATIONS;

INVERSE PROBLEMS;

EID: 70350660824     PISSN: 02665611     EISSN: 13616420     Source Type: Journal    
DOI: 10.1088/0266-5611/25/10/105004     Document Type: Article

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