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Image Fusion Based on Nonsubsampled Contourlet Transform and Saliency-Motivated Pulse Coupled Neural Networks
Joint Authors
Xu, Liang
Li, Qingping
Du, Junping
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In the nonsubsampled contourlet transform (NSCT) domain, a novel image fusion algorithm based on the visual attention model and pulse coupled neural networks (PCNNs) is proposed.
For the fusion of high-pass subbands in NSCT domain, a saliency-motivated PCNN model is proposed.
The main idea is that high-pass subband coefficients are combined with their visual saliency maps as input to motivate PCNN.
Coefficients with large firing times are employed as the fused high-pass subband coefficients.
Low-pass subband coefficients are merged to develop a weighted fusion rule based on firing times of PCNN.
The fused image contains abundant detailed contents from source images and preserves effectively the saliency structure while enhancing the image contrast.
The algorithm can preserve the completeness and the sharpness of object regions.
The fused image is more natural and can satisfy the requirement of human visual system (HVS).
Experiments demonstrate that the proposed algorithm yields better performance.
American Psychological Association (APA)
Xu, Liang& Du, Junping& Li, Qingping. 2013. Image Fusion Based on Nonsubsampled Contourlet Transform and Saliency-Motivated Pulse Coupled Neural Networks. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031683
Modern Language Association (MLA)
Xu, Liang…[et al.]. Image Fusion Based on Nonsubsampled Contourlet Transform and Saliency-Motivated Pulse Coupled Neural Networks. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1031683
American Medical Association (AMA)
Xu, Liang& Du, Junping& Li, Qingping. Image Fusion Based on Nonsubsampled Contourlet Transform and Saliency-Motivated Pulse Coupled Neural Networks. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031683