Efficient fusion for infrared and visible images based on compressive sensing principle

IET Image Processing

Volumn 5, Issue 2, 2011, Pages 141-147

  Li, X ^a   Qin, S ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE ANALYSIS; COMPUTATION RESOURCES; FUSION QUALITY; GLOBAL INFORMATIONS; HUMAN PERCEPTION; INFRARED AND VISIBLE IMAGE; MULTI SENSOR IMAGES; OBJECTIVE EVALUATION; OPTIMISATIONS; ORIGINAL IMAGES; POTENTIAL APPLICATIONS; PRIORI INFORMATION; RECONSTRUCTION TECHNIQUES; SAMPLING MEASUREMENT; SELF-ADAPTIVE; SENSING PRINCIPLE; STANDARD DEVIATION; TOTAL VARIATION; VISIBLE IMAGE; VISUAL EFFECTS; WEIGHTED AVERAGES;

ALGORITHMS; COMPUTATIONAL EFFICIENCY; OPTIMIZATION; SIGNAL RECONSTRUCTION;

IMAGE FUSION;

EID: 79952331140     PISSN: 17519659     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-ipr.2010.0084     Document Type: Article

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