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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1561-1565

Image super-resolution reconstruction based on adaptive semi-coupled dictionary learning

Huang Taoye
Sun Tiantian
Zhou Zhenghua
Zhao Jianwei
Dept. of Applied Mathematics, College of Sciences, China Jiliang University, Hangzhou 310018, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0852

Abstract

In the field of image super-resolution, how to balance the sparsity and cooperation of the representation coefficients in the dictionary learning is of great significance for the reconstruction result. For this problem, this paper proposed an adaptive semi-coupled dictionary learning super-resolution method based on semi-coupled dictionary-learning method. The method used the kernel norm to construct a new regularization term to consider the sparsity and cooperation together, and adopted the alternating direction multiplier method(ADMM) to solve the optimal model. The experimental results show that the proposed method is more effective than some other existing dictionary-learning based reconstruction methods. It can balance the sparsity and correlation according to the variation of dictionary to produce an appropriate coefficient adaptively. Hence, it has anti-interference ability to the noisy environment.

Foundation Support

国家自然科学基金资助项目(61571410)
浙江省自然科学基金资助项目(LY18F020018,LSY19F020001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0852
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Graphic & Image
Pages: 1561-1565
Serial Number: 1001-3695(2020)05-058-1561-05

Publish History

[2020-05-05] Printed Article

Cite This Article

黄陶冶, 孙恬恬, 周正华, 等. 基于自适应半耦合字典学习的超分辨率图像重建 [J]. 计算机应用研究, 2020, 37 (5): 1561-1565. (Huang Taoye, Sun Tiantian, Zhou Zhenghua, et al. Image super-resolution reconstruction based on adaptive semi-coupled dictionary learning [J]. Application Research of Computers, 2020, 37 (5): 1561-1565. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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