Video super-resolution reconstruction of weak and small target in sea background based on channel attention mechanism

Rui Zhang; Meiqi Zhang; Zhiyong Chen; Yan Ouyang; Junyu Guo; Jia He; Jing Hu

doi:10.1117/12.2615964

8 July 2022 Video super-resolution reconstruction of weak and small target in sea background based on channel attention mechanism

Rui Zhang, Meiqi Zhang, Zhiyong Chen, Yan Ouyang, Junyu Guo, Jia He, Jing Hu

Author Affiliations +

Proceedings Volume 12281, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 122810A (2022) https://doi.org/10.1117/12.2615964
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

The sea background video has a wide range of applications in the fields of port maritime traffic management, combating illegal fishing vessels, and maritime rescue. However, the target pixel size in the sea background video is quite small, so increasing the resolution of the target has important practical significance. There are a lot of ripples in the sea background video, which leads to poor video super-resolution effect. We propose a video super-resolution algorithm (CARVSR) in sea background based on the channel attention mechanism. The algorithm adds spatio-temporal 3D learning convolution to the fusion module, which suppresses the interference of ripples on super-resolution reconstruction, and adds channel attention mechanism to the reconstruction module, which enhances the feature expression to reconstruction and improves super-resolution reconstruction quality. Experimental results show that the algorithm effectively improves the superresolution reconstruction effect of sea background video.

Citation Download Citation

Rui Zhang, Meiqi Zhang, Zhiyong Chen, Yan Ouyang, Junyu Guo, Jia He, and Jing Hu "Video super-resolution reconstruction of weak and small target in sea background based on channel attention mechanism", Proc. SPIE 12281, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 122810A (8 July 2022); https://doi.org/10.1117/12.2615964

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KEYWORDS

Video

Super resolution

Reconstruction algorithms

Convolution

Optical flow

Detection and tracking algorithms

Visualization

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