Infrared and visible image fusion method based on NSST and guided filtering

Jie Zhou; Wenjuan Li; Peng Zhang; Jun Luo; Sijing Li; Jiong Zhao

doi:10.1117/12.2585514

8 December 2020 Infrared and visible image fusion method based on NSST and guided filtering

Jie Zhou, Wenjuan Li, Peng Zhang, Jun Luo, Sijing Li, Jiong Zhao

Proceedings Volume 11606, ICOSM 2020: Optoelectronic Science and Materials; 116060E (2020) https://doi.org/10.1117/12.2585514
Event: Second International Conference on Optoelectronic Science and Materials (ICOSM 2020), 2020, Hefei, China

Abstract

In the process of image fusion between visible and infrared images, the infrared image details are seriously lost, the edge is blurred and the visible image contrast is insufficient, etc., so an image fusion method combining the non sub sampled shear wave transform and guided filtering is proposed. Firstly, the visible and infrared images were decomposed by NSST to obtain the low frequency and high frequency sub bands. Secondly, guided filtering weighted sub band coefficients based on local area definition are used to fuse low frequency sub band coefficients, and improved guided filtering fusion is used to fuse high frequency sub band coefficients. Finally, NSST inverse transformation is used to obtain the fused image.Experimental results on different data sets show that this method is superior to other methods in information entropy, standard deviation, mutual information and other evaluation indexes, which verifies the effectiveness and superiority of the method proposed in this paper.

Citation Download Citation

Jie Zhou, Wenjuan Li, Peng Zhang, Jun Luo, Sijing Li, and Jiong Zhao "Infrared and visible image fusion method based on NSST and guided filtering", Proc. SPIE 11606, ICOSM 2020: Optoelectronic Science and Materials, 116060E (8 December 2020); https://doi.org/10.1117/12.2585514

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