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Technology of Graphic & Image
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3478-3483

Iterative pyramid deblurring and super-resolution network based on dual-branch fusion feedback

Wang Feng1
Cai Lizhi2
Zhang Juan1
1. School of Electronic & Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2. Shanghai Development Center of Computer Software Technology, Shanghai 201112, China

Abstract

To solve the problems of a large number of artifacts and unclear edge textures in super-resolution reconstruction of low-blurred resolution images, this paper proposed an algorithm named iterative pyramid deblurring and super-resolution network based on dual-branch fusion feedback. First, different branch modules extracted the potential deblurring features and super-resolution feature information in the low-resolution blurred image. Second, the adaptive fusion mechanism matched the information from two different features to make sure that the network paid more attention to the blurred area in the deblurring and super-resolution reconstruction modules. Then, the iterative pyramid reconstruction module gradually reconstructed the low-resolution blurred image into a super-resolution clear image which was close to the real distribution. Finally, the reconstructed image was fed into the feedback module to generate sharp low-resolution images by feedback supervision. The experimental results of comparison with existing algorithms in the GOPRO dataset show that the proposed algorithm can generate super-resolution images with clearer texture details.

Foundation Support

国家自然科学基金资助项目(61772328)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0570
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Technology of Graphic & Image
Pages: 3478-3483
Serial Number: 1001-3695(2021)11-049-3478-06

Publish History

[2021-11-05] Printed Article

Cite This Article

王峰, 蔡立志, 张娟. 基于双分支融合的反馈迭代金字塔去模糊和超分辨率算法 [J]. 计算机应用研究, 2021, 38 (11): 3478-3483. (Wang Feng, Cai Lizhi, Zhang Juan. Iterative pyramid deblurring and super-resolution network based on dual-branch fusion feedback [J]. Application Research of Computers, 2021, 38 (11): 3478-3483. )

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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