Infrared and visible maritime image fusion based on PIAFusion

Qian Ni; Chunyan Cao; Hongna Zhu; Yanqun Wu; Hao Sui; Mingyu Ou; Kequan Shi; Qi Li

doi:10.1117/12.3004145

24 November 2023 Infrared and visible maritime image fusion based on PIAFusion

Qian Ni, Chunyan Cao, Hongna Zhu, Yanqun Wu, Hao Sui, Mingyu Ou, Kequan Shi, Qi Li

Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 129350Q (2023) https://doi.org/10.1117/12.3004145
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China

Abstract

Infrared and visible image fusion technology aims to integrate the radiation information of infrared images and the details of visible images into one image, which is widely used in video surveillance, target tracking etc.. Thereinto, maritime surveillance often uses infrared and visible images to monitor ships. With the rapid development of deep learning technology, numerous image fusion algorithms have sprung up. However, maritime images can be affected by extreme illumination conditions during fused. Note that the quality of maritime images is extremely significant for identifying ship targets. Therefore, the quality of fused image is necessary for further investigation. Here, a progressive image fusion network with a lighting awareness module, named PIAFusion, is provided for maritime images fusion. Contributed by the light sensing subnetwork, PIAFusion can adaptively fuse the common information and complementary information of images. Evaluated with five operators in daytime and night cases, the results demonstrate that this method significantly improve the fused image quality, compared to common fusion methods (i.e., GTF and DenseFuse). In addition, this method preserves more details of the source image. The progressive fusion network illustrates better fusion performance for maritime images in different lighting cases.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qian Ni, Chunyan Cao, Hongna Zhu, Yanqun Wu, Hao Sui, Mingyu Ou, Kequan Shi, and Qi Li "Infrared and visible maritime image fusion based on PIAFusion", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 129350Q (24 November 2023); https://doi.org/10.1117/12.3004145

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KEYWORDS

Image fusion

Infrared imaging

Light sources and illumination

Visible radiation

Infrared radiation

Image quality

Image processing

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