Pixel-level image fusion: A survey of the state of the art

Information Fusion

Volumn 33, Issue , 2017, Pages 100-112

  Li, Shutao ^a   Kang, Xudong ^a   Fang, Leyuan ^a   Hu, Jianwen ^b   Yin, Haitao ^c  

^a HUNAN UNIVERSITY   (China)

^b CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Image fusion; Medical imaging; Multiscale decomposition; Remote sensing; Sparse representation

Indexed keywords

DIAGNOSIS; MEDICAL IMAGING; PIXELS; REMOTE SENSING; SURVEYS;

IMAGE FUSION APPLICATIONS; IMAGE FUSION METHODS; MACHINE PERCEPTION; MULTI-SCALE DECOMPOSITION; NIGHT VISION APPLICATIONS; PIXEL-LEVEL IMAGE FUSION; SPARSE REPRESENTATION; STATE OF THE ART;

IMAGE FUSION;

EID: 84970983713     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2016.05.004     Document Type: Article

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