DocumentCode :
3499771
Title :
Review on technology of pixel-level image fusion
Author :
Mingjing Li ; Yubing Dong
Author_Institution :
Coll. of Electron. & Inf. Eng., Changchun Univ., ChangChun, China
Volume :
01
fYear :
2013
fDate :
16-18 Aug. 2013
Firstpage :
341
Lastpage :
344
Abstract :
Image fusion can be performed at different levels: pixel, feature and decision-making levels. Pixel level image fusion refers to the processing and synergistic combination of information gathered by various imaging sources to provide a better understanding of a scene. The pixel level image fusion is the direct fusion in the original data layer, so the amount of information retained most. Almost all image fusion algorithms developed to date fall into pixel level. This paper provides an overview of the most widely used pixel-level image fusion algorithms and some comments about their relative strengths and weaknesses. Some performance measures practicable for pixel-level image fusion are also discussed. At last, prospects of pixel-level image fusion are made.
Keywords :
decision making; feature extraction; image fusion; decision-making level; feature level; imaging sources; original data layer; pixel-level image fusion; Biomedical imaging; Computed tomography; Energy resolution; Image edge detection; Image resolution; Manganese; Principal component analysis; image fusion; pixel level; space domain fusion algorithm; transform domain fusion algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
Type :
conf
DOI :
10.1109/MIC.2013.6757979
Filename :
6757979
Link To Document :
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