Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
623-627

Image super-resolution reconstruction based on joint image-frequency supervision

Chen Shuli1,2,3
Zhang Shugui1,2,3
Zhao Zhan1,2,3
1. School of Information Engineering, Kaifeng University, Kaifeng Henan 475001, China
2. Research Center of High-Standard Farmland Intelligent Irrigation Project in Henan, Kaifeng Henan 475000, China
3. Kaifeng Agricultural Internet of Things Engineering Technology Center, Kaifeng Henan 475000, China
DOI: 10.19734/j.issn.1001-3695.2022.05.0272

Abstract

Aiming at the problem that the existing single image super segmentation reconstruction methods are difficult to capture complete and effective information in the image, this paper proposed a joint image-frequency supervised image super-resolution reconstruction algorithm, which aimed to utilize the complementary information between multiple domains, thereby obtaining a more complete image feature representation. Firstly, by analyzing the characteristics of image pixels after converting to frequency domain space, this paper proposed a new frequency domain distance supervision loss according to its complex representation, which effectively applied spectral information to the optimization process of convolutional neural networks. Based on the characterization characteristics of different frequency bands in the domain, this paper constructed the spectral weighting loss on the basis of the distance loss in the frequency domain, and applied it to the two frequency bands of low frequency and high frequency respectively. Finally, combined with the supervision of the image domain, it formed a joint optimization of multiple domains and got good performance. The results on Set14, B100 and Kodak show that the PSNR and SSIM of the proposed algorithm reach 33.47 dB and 0.985 9, respectively, and the proposed algorithm achieves the best performance compared with several image super-resolution methods.

Foundation Support

河南省教育厅重点科研项目(22A520001)
国家自然科学基金资助项目(61702185)
河南省高等学校青年骨干教师培养计划资助项目(2020GZGG043)
河南省高等学校重点科研计划项目(21A520029,21A520028)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0272
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Technology of Graphic & Image
Pages: 623-627
Serial Number: 1001-3695(2023)02-052-0623-05

Publish History

[2022-08-11] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

陈书理, 张书贵, 赵展. 联合图像—频率监督的图像超分辨率重建算法 [J]. 计算机应用研究, 2023, 40 (2): 623-627. (Chen Shuli, Zhang Shugui, Zhao Zhan. Image super-resolution reconstruction based on joint image-frequency supervision [J]. Application Research of Computers, 2023, 40 (2): 623-627. )

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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