Infrared and weak visible fusion based on detail-approximation decomposition

Jingyu Ji; Na Xing; Yongke Li; Changlong Wang; Yuhua Zhang; Jiangyi Yao

doi:10.1117/12.2652201

10 November 2022 Infrared and weak visible fusion based on detail-approximation decomposition

Jingyu Ji, Na Xing, Yongke Li, Changlong Wang, Yuhua Zhang, Jiangyi Yao

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123310C (2022) https://doi.org/10.1117/12.2652201
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

As a hotspot for image processing and information fusion, image fusion technology can effectively integrate several source images from different sensors of the same scene or from the same sensor in different states, eliminating the redundancy among the source images while enhancing the complementarity. In this paper, an infrared and weak visible fusion algorithm based on detail-approximation decomposition is proposed. First, the visibility of brightness difference details in visible images is enhanced by using an adaptive image enhancement method based on high dynamic range compression of a rolling guide filter. Then an image decomposition method based on the fourth order partial differential equations is introduced to decompose the images into approximation images and detail images. Next, detail images are fused by principal component analysis and approximation images are fused by Visual Saliency Map. The final fused image is obtained by combining the detail fusion and approximation fusion results. This fusion method can transfer the important information of infrared images to the fusion image well, while retain the details and background scenery of the input visible images. Experimental comparisons with existed methods show that this algorithm can achieve better fusion performance under poor illumination conditions.

Citation Download Citation

Jingyu Ji, Na Xing, Yongke Li, Changlong Wang, Yuhua Zhang, and Jiangyi Yao "Infrared and weak visible fusion based on detail-approximation decomposition", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123310C (10 November 2022); https://doi.org/10.1117/12.2652201

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KEYWORDS

Image fusion

Image enhancement

Infrared radiation

Image compression

Infrared imaging

Image filtering

Visualization

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