Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3830-3835

Wavelet-based deep learning algorithm for face super-resolution

Liu Ying
Sun Dinghua
Gong Yanchao
Center for Image & Information Processing, Xi'an University of Posts & Telecommunications, Xi'an 710121, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0570

Abstract

At present, super-resolution method based on CNN can obtain excellent results in the evaluation metric of peak signal-to-noise ratio and the structural similarity index, but the visual perceptual quality of super- resolution image is poor, and the details of the facial features are lost. In order to solve these problem, this paper designed a new deep neural network to predict the super-resolution wavelet coefficients to get clear super-resolution face images. Firstly, it used the prior knowledge of face images to manually give the facial features more attention. Then it introduced linear low-rank convolution in the network, and finally used the idea of long-distance dependence to supplement the details of the super-resolution images. The experimental results show that the method in this paper has achieved competitive results in the evaluation metric of peak signal-to-noise ratio and structural similarity index, and the visual perceptual quality of its super-resolution face images are excellent.

Foundation Support

国家自然科学基金资助项目(61801381)
陕西省国际合作交流项目(2018KW-003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0570
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Technology of Graphic & Image
Pages: 3830-3835
Serial Number: 1001-3695(2020)12-065-3830-06

Publish History

[2020-12-05] Printed Article

Cite This Article

刘颖, 孙定华, 公衍超. 学习小波超分辨率系数的人脸超分算法 [J]. 计算机应用研究, 2020, 37 (12): 3830-3835. (Liu Ying, Sun Dinghua, Gong Yanchao. Wavelet-based deep learning algorithm for face super-resolution [J]. Application Research of Computers, 2020, 37 (12): 3830-3835. )

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  • Application Research of Computers Monthly Journal
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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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