Mr. Yuhai Li Profile

Yuhai Li

at Science and Technology on Electro-Optical Information Security Co

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Proceedings Article | 1 November 2021 Paper

Low-light-level image pixel super-resolution reconstruction method

Bowen Wang, Ju Zhang, Ziheng Jin, Haojie Gu, Yan Zou, Yuhai Li, Chao Zuo

Proceedings Volume 12057, 1205734 (2021) https://doi.org/10.1117/12.2606246

KEYWORDS: Super resolution, Feature extraction, Imaging systems, Image restoration, Image processing

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Wide field-of-view (FOV) and high-resolution (HR) imaging systems have become indispensable information acquisition equipment in many applications, such as video surveillance, target detection and remotely sensed imagery. However, due to the constraints of spatial sampling and detector processing level, the ability of remote sensing to obtain high spatial resolution is limited, especially in the wide FOV imaging. To solve these problems, we propose a multi-scale feature extraction (MSFE) network to realize super-resolution imaging in a low-light- level (LLL) environment. In order to perform data fusion and information extraction for low resolution (LR) images, the network extracts high-frequency detail information from different dimensions by combining the channel attention mechanism module and skip connection module. In this way, redundant low-frequency signals can pass through the network tail-ends, furthermore, the more important high-frequency components calculation can be focused. The qualitative and quantitative analysis results show that the proposed method achieves the most advanced performance compared with other state-of-the-art methods, which shows the superiority of the design framework and the effectiveness of presenting modules.

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