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Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

机译:基于亮通道先验的水下图像恢复与增强

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摘要

This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the transmittance image, eventually underwater images were restored. Secondly, in order to rectify the color distortion, the restoration images were equalized by using the deduced histogram equalization. The experiment results showed that the proposed method could enhance the quality of underwater images effectively.
机译:本文提出了一种新的水下图像恢复和增强方法,该方法受到图像去雾领域中先验暗通道的启发。首先,我们提出了水下环境优先的亮通道。通过估计和校正亮通道图像,估计大气光以及估计和细化透射率图像,最终恢复了水下图像。其次,为了校正颜色失真,通过使用推导的直方图均衡化来对恢复图像进行均衡。实验结果表明,该方法可以有效提高水下图像的质量。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第11期|3141478.1-3141478.15|共15页
  • 作者单位

    Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Peoples R China;

    Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Peoples R China;

    Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Peoples R China;

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