基于负片修正的煤矿尘雾图像清晰化算法

发布时间：2018-01-24 10:13

  本文关键词： 煤矿图像 负片修正 尘雾清晰化 光环效应 去雾　出处：《煤矿安全》2017年09期 　论文类型：期刊论文

【摘要】：由于煤矿井下环境恶劣,存在大量的粉尘、水雾,使得煤矿井下视频监控获取的图像严重降质,而现有的基于暗通道先验的尘雾清晰化算法在处理煤矿尘雾图像时存在局限性,因此提出了一种改进的基于负片修正的尘雾图像清晰化算法。针对原有算法产生的严重的光环效应,通过建立参数间的映射实现了修正参数的精细化,从而有效的抑制了光环效应的产生。考虑获取的复原图像亮度比较低,对其进行伽马校正并获得最终清晰化图像。与其他算法相比,该算法能够有效的对尘雾图像进行清晰化复原,使得复原图像色彩更加饱和、信息量更加丰富,展现了该算法的优越性。
[Abstract]:Due to the harsh environment in the underground coal mine, there is a large amount of dust and water mist, which makes the image obtained by the video monitoring in the coal mine seriously degraded. However, the existing dust-fog clarity algorithms based on the dark channel priori have some limitations in dealing with the dust fog images in coal mines. Therefore, an improved dust image clarity algorithm based on negative correction is proposed. Aiming at the serious halo effect produced by the original algorithm, the refined parameters are refined by establishing the mapping between the parameters. Thus the halo effect is effectively suppressed. The reconstructed image is considered to have lower brightness, and the gamma correction is carried out and the final clear image is obtained. Compared with other algorithms. The algorithm can effectively restore the dust-fog image clearly, make the restored image more saturated color, more rich information, showing the superiority of the algorithm.
【作者单位】： 北京大学地球与空间科学学院;
【基金】：国家重点研发计划重点专项资助项目(2016YFC0801807,2016YFC0801805)
【分类号】：TD714;TP391.41
【正文快照】： 视频监控在煤矿安全生产中扮演着重要的角色,它能够将井下作业信息通过图像的方式及时反馈给生产指挥者,从而指导井下生产有序进行并及时处置井下危险情况。然而由于煤矿井下环境恶劣,在煤矿生产中有大量粉尘产生,同时井下除尘装置也会产生的大量水雾,使得监控视频获取的图像，

本文编号：1459796