Paper
27 March 2022 Research on objective evaluation model for fusion image of multi-source detector
Zhou Zheng, Ye Yang, Gangcheng Jiao, Pengbo Yang, Shiwei Lei, Lei Yan, Hongchang Cheng
Author Affiliations +
Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 1216907 (2022) https://doi.org/10.1117/12.2619522
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
Aiming at the problem of the lack of comprehensive and objective evaluation methods for near-infrared and low-light-level multi-band fusion images, this paper proposes a multi-dimensional fusion image quality evaluation model that conforms to the interpretation habits of the human visual system. Firstly, the multi-source fusion image quality of low illumination CMOS, ICCD, EBAPS devices and near-infrared InGaAs detector is subjectively evaluated. Secondly, 14 classical evaluation indexes such as information entropy, mean gradient, mutual information and structure similarity are combined. The parameters of each index are dynamically adjusted, and finally an objective evaluation model is established based on the linear regression model. The SROCC, KROCC, PLCC and RMSE values of the optimized objective evaluation model and subjective evaluation score are 0.88, 0.72, 0.89 and 0.38, respectively, indicating that the accuracy and stability evaluation effect of the objective model is better. It solves the limitation of single factor evaluation index and realizes the comprehensive and objective quality evaluation of multi-source detector fusion image, which provides theoretical support and decision basis for the selection of night vision camera in complex illumination environment and the data fusion of multi-detector in low illumination condition. < <
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhou Zheng, Ye Yang, Gangcheng Jiao, Pengbo Yang, Shiwei Lei, Lei Yan, and Hongchang Cheng "Research on objective evaluation model for fusion image of multi-source detector", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 1216907 (27 March 2022); https://doi.org/10.1117/12.2619522
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KEYWORDS
Image fusion

Image quality

Image analysis

Sensors

Visual process modeling

Detection and tracking algorithms

Cameras

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