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Technology of Graphic & Image
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3172-3176

Improved video surveillance face super-resolution recovery algorithm based on CycleGAN

Chen Guiqiang
He Jun
Luo Shunchong
College of Computer Science, Sichuan University, Chengdu 610065, China

Abstract

Supervised super-resolution algorithms require plentiful paired-image for networks training, resulting in poor visual recovery effects when processing real-world low-resolution images. To solve this problem, this paper proposed an improved semi-supervised algorithm based on CycleGAN, donated as Cycle-SRNet. Firstly the degradation model generated images similar to real world low-resolution faces for network training, and then the reconstruction model restored high resolution face image. Furthermore, this paper introduced perceptual loss function to ensure the structural similarity of the faces so as to recover the facial features better. Experimental results show that the algorithm can restore fuzzy low-resolution video surveillance face images into recognizable face images, and it exceeds SRCNN, SRGAN and CinCGAN in terms of FID, PSNR and SSIM indicators.

Foundation Support

国家自然科学基金资助项目(U1836103)
四川省科技重点研发项目(18ZDYF2039)
四川省重大科技专项(2017GZDZX0002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0434
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Technology of Graphic & Image
Pages: 3172-3176
Serial Number: 1001-3695(2021)10-052-3172-05

Publish History

[2021-10-05] Printed Article

Cite This Article

陈贵强, 何军, 罗顺茺. 基于改进CycleGAN的视频监控人脸超分辨率恢复算法 [J]. 计算机应用研究, 2021, 38 (10): 3172-3176. (Chen Guiqiang, He Jun, Luo Shunchong. Improved video surveillance face super-resolution recovery algorithm based on CycleGAN [J]. Application Research of Computers, 2021, 38 (10): 3172-3176. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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