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Region-Based Image-Fusion Framework for Compressive Imaging
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A novel region-based image-fusion framework for compressive imaging (CI) and its implementation scheme are proposed.
Unlike previous works on conventional image fusion, we consider both compression capability on sensor side and intelligent understanding of the image contents in the image fusion.
Firstly, the compressed sensing theory and normalized cut theory are introduced.
Then region-based image-fusion framework for compressive imaging is proposed and its corresponding fusion scheme is constructed.
Experiment results demonstrate that the proposed scheme delivers superior performance over traditional compressive image-fusion schemes in terms of both object metrics and visual quality.
American Psychological Association (APA)
Chen, Yang& Qin, Zheng. 2014. Region-Based Image-Fusion Framework for Compressive Imaging. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1039634
Modern Language Association (MLA)
Chen, Yang& Qin, Zheng. Region-Based Image-Fusion Framework for Compressive Imaging. Journal of Applied Mathematics No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1039634
American Medical Association (AMA)
Chen, Yang& Qin, Zheng. Region-Based Image-Fusion Framework for Compressive Imaging. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1039634
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1039634