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Proceedings Paper

Infrared and visible image fusion using modified PCNN and visual saliency detection
Author(s): Zhaisheng Ding; Dongming Zhou; Rencan Nie; Ruichao Hou; Yanyu Liu
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Paper Abstract

As an important branch of multi-source image fusion, infrared and visible image fusion not only inherits the basic theory and method of image fusion, but also has its own characteristics. Visual saliency detection method reflects the significant information in infrared image, and the feature has the consistent in the object information and background details with the infrared and visible light images. So, this paper proposed a novel framework of infrared and visible image fusion by using visual saliency and non-subsampled shearlet transformation. Comparing the proposed fusion method with some existing algorithms, the experimental results show that the proposed method can not only highlight the object information, but also can preserve the abundant background information effectively in the visible light image.

Paper Details

Date Published: 29 October 2018
PDF: 7 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108360E (29 October 2018); doi: 10.1117/12.2513889
Show Author Affiliations
Zhaisheng Ding, Yunnan Univ. (China)
Dongming Zhou, Yunnan Univ. (China)
Rencan Nie, Yunnan Univ. (China)
Ruichao Hou, Yunnan Univ. (China)
Yanyu Liu, Yunnan Univ. (China)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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