• Laser & Optoelectronics Progress
  • Vol. 49, Issue 11, 111001 (2012)
Liu Yanyan*, Zhao Yingchao, and Hu Tao
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/lop49.111001 Cite this Article Set citation alerts
    Liu Yanyan, Zhao Yingchao, Hu Tao. Quality Assessment of Laser Disturbing Images Based on Wavelet Transform[J]. Laser & Optoelectronics Progress, 2012, 49(11): 111001 Copy Citation Text show less

    Abstract

    Both the vulnerability and laser-induced damaged image character of CCD detector are studied. The commonly used image quality assessment process is summed up. The error, signal-to-noise ratio and the similarity of two frame of series laser disturbing images are assessed through objective assessment methods. The results show that the disturbing effect of two frame of series laser disturbing images is not obvious and it is consistent with the subjective assessment, which are demonstrated in four aspects, the change of original images and the difference image along with their histograms are not obvious, the gray value difference of both images is less than 0.058%, the peak signal-to-noise ratio is 51.0793 dB and the correlativity is 0.9999. According to the nuance of two images, the vertical, horizontal, approximate and diagonal details of difference image is picked up by wavelet transform and results can reflect the original image details better.
    Liu Yanyan, Zhao Yingchao, Hu Tao. Quality Assessment of Laser Disturbing Images Based on Wavelet Transform[J]. Laser & Optoelectronics Progress, 2012, 49(11): 111001
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