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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2534-2538

Improved super-resolution reconstruction method for self-learning of single image

Wang Xiaominga,b
Huang Fenga
Liu Shaopenga
Xu Taoa
a. School of Computer & Software Engineering, b. Robotics Research Center, Xihua University, Chengdu 610039, China
DOI: 10.19734/j.issn.1001-3695.2018.02.0184

Abstract

Aiming at the limitation of sparse representation depended on large training sample dictionaries for traditional super-resolution reconstruction method, this paper proposed an improved super-resolution reconstruction method for self-learning of single image based on the characteristic of L2-norm's weak sparsity. Firstly, it used self-learning to establish the non pyramid stepped training images. Then, it used the custom method to extract feature blocks and feature pixel values of corresponding LR and HR images. Finally, combined with the CR theory of L2-norm and SVR technology, it established mapping model of the super-resolution. Experimental results show that the proposed super-resolution method is feasible and effective. The average PSNR increases for 0.06~3.92 dB and SSIM increases for 0.002 4~0.034 8 compared with other conventional super-resolution approaches of single image. From the objective and subjective vision, it is proved that the proposed method is excellent.

Foundation Support

国家教育部春晖计划资助项目(Z2015102)
国家自然科学基金资助项目(61532009)
四川省教育厅自然科学重点项目(11ZA004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0184
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Graphic & Image
Pages: 2534-2538
Serial Number: 1001-3695(2019)08-062-2534-05

Publish History

[2019-08-05] Printed Article

Cite This Article

王晓明, 黄凤, 刘少鹏, 等. 改进的单幅图像自学习超分辨率重建方法 [J]. 计算机应用研究, 2019, 36 (8): 2534-2538. (Wang Xiaoming, Huang Feng, Liu Shaopeng, et al. Improved super-resolution reconstruction method for self-learning of single image [J]. Application Research of Computers, 2019, 36 (8): 2534-2538. )

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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