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Sensors 2018, 18(4), 1169; doi:10.3390/s18041169

Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain

1
Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, Shaanxi, China
2
School of Management Engineering, Xi’an University of Finance and Economics, Xi’an 710100, Shaanxi, China
3
The 93575 Unit of PLA, Chengde 067000, Hebei, China
*
Author to whom correspondence should be addressed.
Received: 5 March 2018 / Revised: 7 April 2018 / Accepted: 8 April 2018 / Published: 11 April 2018
(This article belongs to the Special Issue Advances in Infrared Imaging: Sensing, Exploitation and Applications)
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Abstract

There are many artificial parameters when fuse infrared and visible images, to overcome the lack of detail in the fusion image because of the artifacts, a novel fusion algorithm for infrared and visible images that is based on different constraints in non-subsampled shearlet transform (NSST) domain is proposed. There are high bands and low bands of images that are decomposed by the NSST. After analyzing the characters of the bands, fusing the high level bands by the gradient constraint, the fused image can obtain more details; fusing the low bands by the constraint of saliency in the images, the targets are more salient. Before the inverse NSST, the Nash equilibrium is used to update the coefficient. The fused images and the quantitative results demonstrate that our method is more effective in reserving details and highlighting the targets when compared with other state-of-the-art methods. View Full-Text
Keywords: image fusion; constraints; infrared and visible images; details of image; salient targets; Nash equilibrium image fusion; constraints; infrared and visible images; details of image; salient targets; Nash equilibrium
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Huang, Y.; Bi, D.; Wu, D. Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain. Sensors 2018, 18, 1169.

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