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Technology of Graphic & Image
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3815-3819

Single image super resolution based on ResNeXt and WGAN

Zeng Qingliang
Nan Fangzhe
Shang Diya
Sun Hua
College of Software, Xinjiang University, Urumqi 830046, China

Abstract

To solve the problem of unstable training and slow learning speed problems of a generative adversarial network for image super-resolution(SRGAN), the paper proposed a single image super-resolution reconstruction model called the Res_SRGAN based on ResNeXt and WGAN. The model referred to ResNeXt network structure construction generator, which reduced the computational complexity of model generator to 1/8 that of the SRGAN. The discriminator was constructed by WGAN, which solved SRGAN's instability. Experimental results demonstrate that the proposed model achieves better performance in subjective and objective evaluations using four public data sets compared with other single-image super-resolution reconstruction models.

Foundation Support

新疆维吾尔自治区自然科学基金资助项目(2015211C263)
新疆维吾尔自治区研究生创新项目(XJ2019G069,XJ2019G072)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0579
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Technology of Graphic & Image
Pages: 3815-3819
Serial Number: 1001-3695(2020)12-062-3815-05

Publish History

[2020-12-05] Printed Article

Cite This Article

曾庆亮, 南方哲, 尚迪雅, 等. 基于ResNeXt和WGAN网络的单图像超分辨率重建 [J]. 计算机应用研究, 2020, 37 (12): 3815-3819. (Zeng Qingliang, Nan Fangzhe, Shang Diya, et al. Single image super resolution based on ResNeXt and WGAN [J]. Application Research of Computers, 2020, 37 (12): 3815-3819. )

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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