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Objective Image-Quality Assessment for High-Resolution Photospheric Images by Median Filter-Gradient Similarity
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  • 作者:Hui Deng ; Dandan Zhang ; Tianyu Wang ; Kaifan Ji ; Feng Wang ; Zhong Liu…
  • 关键词:High resolution imaging ; Image quality ; Instrumentation and data management
  • 刊名:Solar Physics
  • 出版年:2015
  • 出版时间:May 2015
  • 年:2015
  • 卷:290
  • 期:5
  • 页码:1479-1489
  • 全文大小:1,120 KB
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  • 作者单位:Hui Deng (1)
    Dandan Zhang (1)
    Tianyu Wang (1)
    Kaifan Ji (1)
    Feng Wang (1) (2)
    Zhong Liu (2)
    Yongyuan Xiang (2)
    Zhenyu Jin (2)
    Wenda Cao (3)

    1. Computer Technology Key Lab of Yunnan Province, Kunming University of Science and Technology, Kunming, China
    2. Yunnan Observatories, Chinese Academy of Sciences, Kunming, China
    3. New Jersey Institute of Technology, Newark, NJ, USA
  • 刊物类别:Physics and Astronomy
  • 刊物主题:Physics
    Astronomy
    Extraterrestrial Physics and Space Sciences
    Astrophysics
  • 出版者:Springer Netherlands
  • ISSN:1573-093X
文摘
All next-generation ground-based and space-based solar telescopes require a good quality-assessment metric to evaluate their imaging performance. In this paper, a new image quality metric, the median filter-gradient similarity (MFGS) is proposed for photospheric images. MFGS is a no-reference/blind objective image-quality metric (IQM) by a measurement result between 0 and 1 and has been performed on short-exposure photospheric images captured by the New Vacuum Solar Telescope (NVST) of the Fuxian Solar Observatory and by the Solar Optical Telescope (SOT) onboard the Hinode satellite, respectively. The results show that (1) the measured value of the MFGS changes monotonically from 1 to 0 with degradation of image quality; (2)?there exists a linear correlation between the measured values of the MFGS and the root-mean-square contrast (RMS-contrast) of the granulation; (3)?the MFGS is less affected by the image contents than the granular RMS-contrast. Overall, the MFGS is a good alternative for the quality assessment of photospheric images.

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