计算机工程

• 图形图像处理 • 上一篇    下一篇

基于暗通道先验的补偿快速去雾算法

杨燕,白海平   

  1. (兰州交通大学电子与信息工程学院,兰州 730070)
  • 收稿日期:2014-10-28 出版日期:2015-10-15 发布日期:2015-10-15
  • 作者简介:杨燕(1972-),女,副教授、博士,主研方向:数字图像处理,语音信号处理;白海平,硕士研究生。
  • 基金项目:
    国家自然科学基金资助项目(61561030);甘肃省科技厅自然科学基金资助项目(1310RJZA050);甘肃省财政厅基本科研业务费基金资助项目(214138)。

Compensative Quick Defogging Algorithm Based on Dark Channel Prior

YANG Yan,BAI Haiping   

  1. (School of Electronic & Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
  • Received:2014-10-28 Online:2015-10-15 Published:2015-10-15

摘要: 针对暗通道先验算法去雾能力较弱且速度慢的问题,提出一种对暗通道补偿的快速去雾算法。在分析光晕产生原因的基础上,结合中值滤波算法补偿去雾能力较弱的边缘雾区暗通道图,将有雾图像的全局最小值图像作为导向图,利用引导滤波平滑且保持边缘特性细化补偿后的暗通道图,消除黑斑效应,降低算法复杂度,将新的暗通道中的最大值作为大气光强的简单估计,根据大气散射模型恢复无雾图像。实验结果表明,与中值滤波算法、快速去雾算法等相比,该算法获得的无雾图像具有更好的清晰度和色彩恢复度,能提高运算速度。

关键词: 暗通道, 补偿算法, 去雾算法, 引导滤波, 大气散射模型

Abstract: Aiming at the problem of weak ability and slow processing speed in dehazing program based on dark channel prior algorithm,this paper proposes a fast defogging algorithm of compensation for dark channel image.It combines median filtering algorithm to compensate the area dark channel image with weak defogging ability.The global minimum image is regarded as guided image and the dark channel image is filtered utilizing the guided filter characteristics of edgepreserving smoothing,which can remove the phenomenon of blackspot and cut down the algorithm complexity.Clear images can be restored based on the atmosphere scattering model after regarding the maximum of new dark channel image as evaluating the atmosphere light intensity simply.Experimental results show that compared with the median filtering algorithm,fast defogging algorithm,etc,the obtained defogging images of this algorithm have better sharpness and color degrees.The computational speed is greatly improved.

Key words: dark channel, compensation algorithm, defogging algorithm, guided filtering, atmosphere scattering model

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