Split Bregman iterative algorithm for sparse reconstruction of electrical impedance tomography

Signal Processing

Volumn 92, Issue 12, 2012, Pages 2952-2961

  Wang, Jing ^a   Ma, Jianwei ^a,c   Han, Bo ^a   Li, Qin ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b FLORIDA STATE UNIVERSITY   (United States)

^c BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Electrical impedance tomography (EIT); L 1 norm regularized reconstruction; Split Bregman iterations

Indexed keywords

COMPUTATIONAL SPEED; DATA NOISE; ELECTRICAL IMPEDANCE TOMOGRAPHY; IMAGING QUALITY; ITERATIVE ALGORITHM; REGULARIZATION METHODS; SPARSE RECONSTRUCTION; SPLIT BREGMAN ITERATIONS; STATE-OF-THE-ART ALGORITHMS; TOTAL VARIATION REGULARIZATION;

ELECTRIC IMPEDANCE; ELECTRIC IMPEDANCE TOMOGRAPHY; INVERSE PROBLEMS; ITERATIVE METHODS;

ALGORITHMS;

EID: 84864277219     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2012.05.027     Document Type: Article

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