Electronics Optics & Control, Volume. 21, Issue 8, 20(2014)

Laser-Dazzling Image Quality Assessment Based on Gradient Similarity

FAN Yong1, LIU Xue-yu1, and QIAN Fang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    This paper proposes a new algorithm based on gradient similarity (GSIM).By comparing the original images with the disturbed ones on their luminance contrast and resolution an image quality assessment index system was obtained and a modified GSIM was constructed.Comparison experiments show that the correlation prediction accuracy and consistency of the proposed metric are respectively 8.5% 7.6% and 4.8% higher than the PSNR index and are respectively 1.5% 3.8% and 2.6% higher than the SSIM index.In terms of experiment results, the new algorithm shows better feasibility comparing with MSE PSNR and SSIM image quality assessment methods.GSIM can overcome the influence of the difference in background intensity and it is efficacious to reflect the laser-dazzling effect.

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    FAN Yong, LIU Xue-yu, QIAN Fang. Laser-Dazzling Image Quality Assessment Based on Gradient Similarity[J]. Electronics Optics & Control, 2014, 21(8): 20

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    Paper Information

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    Received: Aug. 23, 2013

    Accepted: --

    Published Online: Sep. 1, 2014

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2014.08.005

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