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Technology of Graphic & Image
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3788-3791

Densely channel attention skip connection network for image super-resolution

Wu Ronggui1,2
Jiang Ping1
1. Institute of Optics & Electronics, Chinese Academy of Sciences, Chengdu 610209, China
2. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

In order to solve the problem that the existing super-resolution algorithm based on deep learning didn't make full use of the feature information of each level, resulting in low reconstruction accuracy and large parameter quantity, this paper proposed a double dense connection structure named densely channel attention skip connection network. In the inner structure of the network, it improved the original dense cascade block to generate a channel separable dense cascade block. The outer structure adopted a densely residual connection and attention mechanism to fuse the features extracted by the dense block to achieve the goal that less convolution layer and higher precision effect. This paper tested the network models on several benchmark datasets. The results show the proposed model has higher accuracy and fewer parameters than the other models.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0240
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Technology of Graphic & Image
Pages: 3788-3791
Serial Number: 1001-3695(2020)12-055-3788-04

Publish History

[2020-12-05] Printed Article

Cite This Article

吴荣贵, 蒋平. 用于图像超分辨的密集跳跃注意连接网络 [J]. 计算机应用研究, 2020, 37 (12): 3788-3791. (Wu Ronggui, Jiang Ping. Densely channel attention skip connection network for image super-resolution [J]. Application Research of Computers, 2020, 37 (12): 3788-3791. )

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  • 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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