Paper
1 November 2021 Low-light-level image pixel super-resolution reconstruction method
Bowen Wang, Ju Zhang, Ziheng Jin, Haojie Gu, Yan Zou, Yuhai Li, Chao Zuo
Author Affiliations +
Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 1205734 (2021) https://doi.org/10.1117/12.2606246
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China
Abstract
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.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bowen Wang, Ju Zhang, Ziheng Jin, Haojie Gu, Yan Zou, Yuhai Li, and Chao Zuo "Low-light-level image pixel super-resolution reconstruction method", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 1205734 (1 November 2021); https://doi.org/10.1117/12.2606246
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KEYWORDS
Super resolution

Feature extraction

Image restoration

Imaging systems

Image processing

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