In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2536-2540,2546

Adaptive coarse and fine combined termination mechanism for iterative deblurring algorithm

Li Chongxi
Xu Shaoping
Lin Zhenyu
Zhang Wei
Liu Tingyun
School of Information Engineering, Nanchang University, Nanchang 330031, China
DOI: 10.19734/j.issn.1001-3695.2019.02.0090

Abstract

Due to the lack of effective blur metric, the existing image deblurring algorithms fixedly set the number of iterations for the sake of simplicity, which results in that they cannot achieve a good tradeoff between the execution efficiency and the deblurred image quality. To this end, this paper proposed a coarse and fine combined termination mechanism, and employed it to adaptively determine the best number of iterations for those iterative deblurring algorithms. Specifically, it used the pseudo-PSNR value to quickly determine whether the image quality tended to be stable at each iteration step, and then exploited the statistical feature extracted from reverse convolution residual image at every fixed steps to evaluate the deblurred image quality coarsely yet accurately during the iterative process. The combination of the two image quality metrics made the proposed termination mechanism be efficiency and accuracy for deblurred images. The evaluation results show that, NCSR, GSR, and ADMM deblurring algorithms using the proposed termination mechanism demonstrate a significant improvement over the corresponding original algorithms on the computational efficiency by 50% while obtaining acceptable image quality. Experimental results show that the proposed detection mechanism can effectively solve the useless iteration and over-iteration problems existing in various iterative deblurring algorithms because of the fixed number of iterations, so it is certain universality.

Foundation Support

国家自然科学基金资助项目(61662044,61163023,51765042)
江西省自然科学基金资助项目(20171BAB202017)
江西省研究生创新专项基金资助项目(YC2018-S066)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.02.0090
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Technology of Graphic & Image
Pages: 2536-2540,2546
Serial Number: 1001-3695(2020)08-063-2536-05

Publish History

[2020-08-05] Printed Article

Cite This Article

李崇禧, 徐少平, 林珍玉, 等. 适用于迭代型去模糊算法粗精检测相结合的自适应终止机制 [J]. 计算机应用研究, 2020, 37 (8): 2536-2540,2546. (Li Chongxi, Xu Shaoping, Lin Zhenyu, et al. Adaptive coarse and fine combined termination mechanism for iterative deblurring algorithm [J]. Application Research of Computers, 2020, 37 (8): 2536-2540,2546. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)