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一种改进的暗通道先验快速图像去雾算法

张江鑫1,周佳波2,孟利民2   

  1. 1. 浙江工业大学信息学院
    2. 浙江工业大学
  • 收稿日期:2016-12-23 修回日期:2017-03-03 发布日期:2017-03-03
  • 通讯作者: 周佳波

An Improved Fast Image Defogging Algorithm Based on Dark Channel Prior

  • Received:2016-12-23 Revised:2017-03-03 Online:2017-03-03

摘要: 暗通道去雾是被认为迄今为止最为优秀的去雾算法之一,但其算法复杂度较高,限制了其应用与推广。针对以上问题,提出了一种基于暗通道的快速去雾算法。首先对图像分块处理,提高求取暗通道值的速度,然后采用线性插值算法平滑处理,消除块状效应,从而得到清晰无雾图像。实验结果证明,在保证良好去雾效果的前提下,算法复杂度被有效降低,去雾所需时间降为原暗通道算法的十分之一左右,达到准实时。

关键词: 去雾算法, 暗通道, 导向滤波, 分块, 线性插值

Abstract: Dark channel prior defogging is considered to be one of the most outstanding defogging algorithms so far, but its high algorithm complexity limits its application and popularization. Aiming at the above problem, a fast defogging algorithm based on dark channel prior was proposed. Firstly, the speed of computing the dark channel map was accelerated by blocking the image, and then the block effect was eliminated through the linear interpolation algorithm. Finally a clear and haze-free image would be gotten. By the experiment we can get a clearly result that the defogging effect of this algorithm can be as good as the original defogging algorithm and the complexity can be reduced effectively. This algorithm needs time about one-tenth of the original algorithm, reaches quasi real-time.

Key words: defogging algorithm, dark channel, guided filtering, Block processing, Linear interpolation

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