A Novel Dual Dense Connection Network for Video Super-resolution

• URL: http://arxiv.org/abs/2203.02723v1
• Date: Sat, 5 Mar 2022 12:21:29 GMT
• Title: A Novel Dual Dense Connection Network for Video Super-resolution
• Authors: Guofang Li and Yonggui Zhu
• Abstract summary: Video super-resolution (VSR) refers to the reconstruction of high-resolution (HR) video from the corresponding low-resolution (LR) video. We propose a novel dual dense connection network that can generate high-quality super-resolution (SR) results.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Video super-resolution (VSR) refers to the reconstruction of high-resolution (HR) video from the corresponding low-resolution (LR) video. Recently, VSR has received increasing attention. In this paper, we propose a novel dual dense connection network that can generate high-quality super-resolution (SR) results. The input frames are creatively divided into reference frame, pre-temporal group and post-temporal group, representing information in different time periods. This grouping method provides accurate information of different time periods without causing time information disorder. Meanwhile, we produce a new loss function, which is beneficial to enhance the convergence ability of the model. Experiments show that our model is superior to other advanced models in Vid4 datasets and SPMCS-11 datasets.

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