Infrared and visible image fusion method based on saliency detection and target-enhancement

Lingxiao Li; Huajun Feng; Xinbo Song; Zhihai Xu; Qi Li; Yueting Chen

doi:10.1117/12.2511261

7 November 2018 Infrared and visible image fusion method based on saliency detection and target-enhancement

Lingxiao Li, Huajun Feng, Xinbo Song, Zhihai Xu, Qi Li, Yueting Chen

Proceedings Volume 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications; 1083217 (2018) https://doi.org/10.1117/12.2511261
Event: Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 2018, Changchun, China

Abstract

To resolve the issue of blurred backgrounds and fuzzy targets in using the infrared and visible image fusion algorithm, this paper proposes a new method for image fusion based on target-enhancement. First, average filtering is used to obtain rough estimation of the transmission rate, which is refined by calculating the images’ statistical information. Further, a final target-enhanced infrared image is obtained using the atmospheric scattering model. Then, the edge of the target-enhanced infrared image and the visible image is detected and separated using the improved edge detection. The fusion rule based on binary information is used for the edge part, and the fusion rule based on the ratio weighting analysis is used for the non-edge part. Experimental results show that the image fusion algorithm based on target-enhancement not only highlights the target information of an infrared image, but also retains the detailed information of the visible image as much as possible. Additionally, the fused image has better visual effects and higher objective quality evaluation indexes.

Citation Download Citation

Lingxiao Li, Huajun Feng, Xinbo Song, Zhihai Xu, Qi Li, and Yueting Chen "Infrared and visible image fusion method based on saliency detection and target-enhancement", Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 1083217 (7 November 2018); https://doi.org/10.1117/12.2511261

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KEYWORDS

Image fusion

Infrared imaging

Infrared radiation

Image filtering

Image quality

Target detection

Infrared detectors

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