Journal of Computer Applications ›› 2017, Vol. 37 ›› Issue (8): 2324-2328.DOI: 10.11772/j.issn.1001-9081.2017.08.2324

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Improved fast image defogging algorithm based on dark channel prior

ZHANG Jiangxin, ZHOU Jiabo, MENG Limin   

  1. College of Information Engineering, Zhejiang University of Technology, Hangzhou Zhejiang 310023, China
  • Received:2016-12-23 Revised:2017-02-03 Online:2017-08-10 Published:2017-08-12
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61372087).


张江鑫, 周佳波, 孟利民   

  1. 浙江工业大学 信息工程学院, 杭州 310023
  • 通讯作者: 周佳波
  • 作者简介:张江鑫(1964-),男,浙江嘉兴人,副教授,硕士,主要研究方向:数字图像处理、多媒体数字通信;周佳波(1990-),男,浙江杭州人,硕士研究生,主要研究方向:数字图像处理;孟利民(1963-),女,浙江金华人,教授,博士,主要研究方向:数字图像处理、无线通信。
  • 基金资助:

Abstract: Due to high complexity of dark channel prior defogging algorithm, a fast defogging algorithm based on dark channel prior was proposed. Firstly, the computing of the dark channel map was accelerated by blocking the image. Secondly, the block effect was eliminated by using the linear interpolation algorithm to smoothing. Then, the transmission map was acquired by dark channel prior. Finally, a clear and haze-free image would be gotten from the atmospheric scattering model. The experimental results show that the defogging effect of the proposed algorithm can be as good as the original defogging algorithm but the complexity can be reduced effectively. The proposed algorithm needs time about one-tenth of the original algorithm and reaches the requirement of near real-time.

Key words: defogging algorithm, dark channel, guided filtering, blocking, linear interpolation

摘要: 针对暗通道去雾算法复杂度过高的问题,提出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;接着采用线性插值算法平滑处理,消除块状效应;然后根据暗通道先验求得透射率;最终利用大气散射模型得到清晰无雾图像。实验结果证明,在保证良好去雾效果的前提下,相比原暗通道算法,所提算法复杂度被有效降低,去雾所需时间也降为原来的1/10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

CLC Number: