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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
626-629

Single image super-resolution method based on sparse Bayesian estimation

Yuan Guixia1
Zhou Xianchun2
1. School of Information & Mechanical & Electrical Engineering, Jiangsu Open University, Nanjing 210017, China
2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
DOI: 10.19734/j.issn.1001-3695.2017.09.0959

Abstract

Aiming at the problem that the super-resolution effect on different low-resolution images of existing super-resolution methods has large difference, this paper proposed a new single image super-resolution method based on sparse Bayesian estimation. In this method, it regarded the single image super-resolution problem as a regression problem. It used the Kronecker pulse functions as the regression basis functions, and obtained the optimal sparse solution of the specific prediction by combining the local information and global information of the image. It used the Bayesian method to estimate the weights, thereby reconstructing the super-resolution image. The experimental results show that this method can obtain high average peak signal to noise ratio, small variance and less time-consuming, when carried out on 14 testing images for single image super-resolution. It proves that this method has good super-resolution effect, strong adaptability, and high efficiency.

Foundation Support

国家自然科学基金资助项目(11202106,61201444)
江苏省高校自然科学面上基金资助项目(15KJD520003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0959
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Graphic & Image
Pages: 626-629
Serial Number: 1001-3695(2019)02-067-0626-04

Publish History

[2019-02-05] Printed Article

Cite This Article

袁桂霞, 周先春. 基于稀疏贝叶斯估计的单图像超分辨率算法 [J]. 计算机应用研究, 2019, 36 (2): 626-629. (Yuan Guixia, Zhou Xianchun. Single image super-resolution method based on sparse Bayesian estimation [J]. Application Research of Computers, 2019, 36 (2): 626-629. )

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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