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Super Resolution for Compressed Screen Content Video

Citation Author(s):
Jizheng Xu, Li Zhang, Junru Li, Shiqi Wang
Submitted by:
Meng Wang
Last updated:
1 March 2021 - 10:29am
Document Type:
Presentation Slides
Document Year:
2021
Event:
Presenters Name:
Meng Wang
Paper Code:
199

Abstract 

Abstract: 

In this paper, we concentrate on the super-resolution (SR) of compressed screen content video, in an effort to address the real-world challenges by considering the underlying characteristics of screen content. Firstly, we propose a new dataset for the SR of screen content video with different distortion levels. Meanwhile, we design an efficient SR structure that could capture the characteristics of compressed screen content video and manipulate the inner-connections in consecutive compressed low-resolution frames, facilitating the high-quality recovery of the high-resolution counter-part. Moreover, we design a new loss function for network training to better remedy the compression distortion and perceptual distortion. Experimental results demonstrate the effectiveness and superiority of the proposed method.

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