Shape from defocus via diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 3, 2008, Pages 518-531

  Favaro, Paolo ^a   Soatto, Stefano ^b   Burger, Martin ^c   Osher, Stanley J ^d  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b Engineering IV   (United States)

^c UNIVERSITY OF MÜNSTER   (Germany)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

And deblurring; Depth cues; Gradient methods; Inverse problems; Iterative methods; Partial differential equations; Reconstruction; Shape; Sharpening

Indexed keywords

DIFFUSION; FOCUSING; GRADIENT METHODS; INVERSE PROBLEMS; ITERATIVE METHODS; PARTIAL DIFFERENTIAL EQUATIONS;

DEBLURRING; DEFOCUS; SPACE-VARYING DIFFUSION COEFFICIENT;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; DIFFUSION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 39549115432     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1175     Document Type: Article

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