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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 9
2869-2874

Blind image super-resolution reconstruction based on degradation aware and sequence residuals

Liu Xin
Tang Hongmei
Xi Jianrui
Liang Chunyang
College of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0810

Abstract

Aiming at the problem that feature extraction is inaccurate and the reconstruction image is not natural enough in blind super-resolution reconstruction, this paper proposed an image blind super-resolution reconstruction based on degradation aware and sequence residuals. This paper proposed a mini-residual group combined degeneration aware and sequence residuals as the backbone network. Then the method constructed a symmetrical enhanced multi-scale residual block. In the image reconstruction part, this paper used the bottleneck attention module and the sub-pixel convolutional module to emphasize the multi-dimensional elements of the image. Finally, the method made a global residual connection. Compared with the current representative algorithm DASR, experiments show that the PSNR and SSIM of the proposed algorithm are improved 0.145 dB and 0.001 4 on Set14×2, and the PSNR of the proposed algorithm is improved 1.898 dB and 0.252 dB on Set14×3/4, respectively. The proposed algorithm achieves better performance than several current image super-resolution algorithms on five standard test sets.

Foundation Support

河北省自然科学基金资助项目(F2019202387)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0810
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Technology of Graphic & Image
Pages: 2869-2874
Serial Number: 1001-3695(2023)09-049-2869-06

Publish History

[2023-03-03] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

刘鑫, 唐红梅, 席建锐, 等. 基于退化感知和序列残差的图像盲超分辨率重建 [J]. 计算机应用研究, 2023, 40 (9): 2869-2874. (Liu Xin, Tang Hongmei, Xi Jianrui, et al. Blind image super-resolution reconstruction based on degradation aware and sequence residuals [J]. Application Research of Computers, 2023, 40 (9): 2869-2874. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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