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Journals >Acta Optica Sinica >Volume 39 >Issue 11 >Page 1110003 > Article

Acta Optica Sinica
Vol. 39, Issue 11, 1110003 (2019)

Infrared and Visible Image Fusion Combining Pulse-Coupled Neural Network and Guided Filtering

XiaoLing Zhou^1、2 and Zetao Jiang^1、*

Author Affiliations

¹Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China

²College of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, Guangxi 541004, China

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DOI: 10.3788/AOS201939.1110003 Cite this Article Set citation alerts

XiaoLing Zhou, Zetao Jiang. Infrared and Visible Image Fusion Combining Pulse-Coupled Neural Network and Guided Filtering[J]. Acta Optica Sinica, 2019, 39(11): 1110003 Copy Citation Text

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References

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[2] Chen Z, Yang X P, Zhang C X et al. Infrared and visible image fusion based on the compensation mechanism in NSCT domain[J]. Chinese Journal of Scientific Instrument, 37, 860-870(2016).

[3] Zhang B H, Lu X Q, Pei H Q et al. A fusion algorithm for infrared and visible images based on saliency analysis and non-subsampled shearlet transform[J]. Infrared Physics & Technology, 73, 286-297(2015). http://www.sciencedirect.com/science/article/pii/S1350449515301006

[4] Wu D P, Bi D Y, He L Y et al. A fusion algorithm of infrared and visible image based on NSSCT[J]. Acta Optica Sinica, 37, 0710003(2017).

[5] Yin M, Duan P H, Liu W et al. A novel infrared and visible image fusion algorithm based on shift-invariant dual-tree complex shearlet transform and sparse representation[J]. Neurocomputing, 226, 182-191(2017). http://dl.acm.org/citation.cfm?id=3031321

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[8] Zhu H R, Liu Y Q, Zhang W Y. Infrared and visible image fusion based on iterative guided filtering and multi-visual weight information[J]. Acta Photonica Sinica, 48, 0310002(2019).

[9] Lu X Q, Zhang B H, Zhao Y et al. The infrared and visible image fusion algorithm based on target separation and sparse representation[J]. Infrared Physics & Technology, 67, 397-407(2014). http://www.sciencedirect.com/science/article/pii/S1350449514001868

[10] Lindblad T, Lindblad T, Kinser J M, Kinser J M[M]. 脉冲耦合神经网络图像处理, 10-20(2008).

[M]. Image processing using pulse-coupled neural networks, 10-20(2008).

[11] Ma Y D, Dai R L, Li L. Automated image segmentation using pulse coupled neural networks and image's entropy[J]. Journal of China Institute of Communications, 23, 46-51(2002).

[12] Deng X Y, Ma Y D. PCNN model automatic parameters determination and its modified model[J]. Acta Electronica Sinica, 40, 955-964(2012).

[13] Wu Y Q, Wang Z L. Infrared and visible image fusion based on target extraction and guided filtering enhancement[J]. Acta Optica Sinica, 37, 0810001(2017).

[14] Li S T, Kang X D, Hu J W. Image fusion with guided filtering[J]. IEEE Transactions on Image Processing, 22, 2864-2875(2013). http://europepmc.org/abstract/MED/23372084

[15] Zhang Y, Zhang L J, Bai X Z et al. Infrared and visual image fusion through infrared feature extraction and visual information preservation[J]. Infrared Physics & Technology, 83, 227-237(2017). http://adsabs.harvard.edu/abs/2017InPhT..83..227Z

[16] Chen M S. Image fusion of visual and infrared image based on NSCT and compressed sensing[J]. Journal of Image and Graphics, 21, 39-44(2016).

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XiaoLing Zhou, Zetao Jiang. Infrared and Visible Image Fusion Combining Pulse-Coupled Neural Network and Guided Filtering[J]. Acta Optica Sinica, 2019, 39(11): 1110003

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