Multifocus Color Image Fusion Based on NSST and PCNN
Joint Authors
Nie, Rencan
Zhou, Dongming
Jin, Xin
Wang, Quan
He, Kangjian
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper proposed an effective multifocus color image fusion algorithm based on nonsubsampled shearlet transform (NSST) and pulse coupled neural networks (PCNN); the algorithm can be used in different color spaces.
In this paper, we take HSV color space as an example, H component is clustered by adaptive simplified PCNN (S-PCNN), and then the H component is fused according to oscillation frequency graph (OFG) of S-PCNN; at the same time, S and V components are decomposed by NSST, and different fusion rules are utilized to fuse the obtained results.
Finally, inverse HSV transform is performed to get the RGB color image.
The experimental results indicate that the proposed color image fusion algorithm is more efficient than other common color image fusion algorithms.
American Psychological Association (APA)
Jin, Xin& Nie, Rencan& Zhou, Dongming& Wang, Quan& He, Kangjian. 2015. Multifocus Color Image Fusion Based on NSST and PCNN. Journal of Sensors،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1110645
Modern Language Association (MLA)
Jin, Xin…[et al.]. Multifocus Color Image Fusion Based on NSST and PCNN. Journal of Sensors No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1110645
American Medical Association (AMA)
Jin, Xin& Nie, Rencan& Zhou, Dongming& Wang, Quan& He, Kangjian. Multifocus Color Image Fusion Based on NSST and PCNN. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1110645
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110645