Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1897-1900,1910

Super resolution reconstruction of digital vein image based on frequency division and residual of multi receptive field density

Li Jiao1
Zhong Lehai1
Bao Xiao'an2
Zhang Na2
Xing Weiyin1
Han Zhengyong1
1. School of Electronics & Information, Mianyang Polytechnic, Mianyang Sichuan 621000, China
2. School of Information, Zhejiang Sci-Tech University, Hangzhou 310018, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0441

Abstract

Aiming at the problem that the finger vein image collected by infrared CCD camera is fuzzy, resulting in high error detection rate of finger vein recognition, this paper proposed super resolution reconstruction of digital vein image based on frequency division and residual of multi receptive field density. This method constructed the image high and low frequency information processing sub network, and integrated the RRFDB structure into the high frequency sub network. The residual dense block design with RFB as the core improved the receptive field, reduced the computational complexity, and better retained the linear texture features of the original digital vein image. The experimental results show that this method can effectively improve the image quality of finger vein. Compared with SRCNN, VDSR, DRRN and other super-resolution reconstruction methods on FV-USM and MMCBNU-6000, this method has good effect on finger vein feature extraction, high reconstructed image quality, and PSNR and SSIM are better than other methods.

Foundation Support

四川省科技计划重点研发项目(2019YFG0112)
浙江省科技计划重大科技专项重点工业项目(2014C01047)
四川省科技计划重点研发项目(2022YFG0206)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0441
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Technology of Graphic & Image
Pages: 1897-1900,1910
Serial Number: 1001-3695(2022)06-051-1897-04

Publish History

[2021-12-13] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

李礁, 钟乐海, 包晓安, 等. 基于分频和多感受野残差密集的指静脉图像超分辨率重建 [J]. 计算机应用研究, 2022, 39 (6): 1897-1900,1910. (Li Jiao, Zhong Lehai, Bao Xiao'an, et al. Super resolution reconstruction of digital vein image based on frequency division and residual of multi receptive field density [J]. Application Research of Computers, 2022, 39 (6): 1897-1900,1910. )

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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