A nonlinear least square technique for simultaneous image registration and super-resolution

IEEE Transactions on Image Processing

Volumn 16, Issue 11, 2007, Pages 2830-2841

  He, Yu ^a   Yap, Kim Hui ^a   Chen, Li ^b   Chau, Lap Pui ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Image registration; Image super resolution (SR); Nonlinear least squares methods

Indexed keywords

ALGORITHMS; IMAGE RECONSTRUCTION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; OPTICAL RESOLVING POWER; PROBLEM SOLVING;

HIGH-RESOLUTION (HR) IMAGE; IMAGE SUPER-RESOLUTION; LOW-RESOLUTION (LR) IMAGES; NONLINEAR LEAST SQUARE METHODS;

IMAGE REGISTRATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; NONLINEAR SYSTEM; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LEAST-SQUARES ANALYSIS; MODELS, STATISTICAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 36348960300     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.908074     Document Type: Article

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