通信学报 ›› 2020, Vol. 41 ›› Issue (5): 27-36.doi: 10.11959/j.issn.1000-436x.2020078

• 学术论文 • 上一篇    下一篇

基于引导滤波和自适应容差的图像去雾算法

金仙力,张威,刘林峰()   

  1. 南京邮电大学计算机学院,江苏 南京 210023
  • 修回日期:2020-03-23 出版日期:2020-05-25 发布日期:2020-05-30
  • 作者简介:金仙力(1978- ),男,福建莆田人,博士,南京邮电大学副教授、硕士生导师,主要研究方向为图像处理、多媒体网络|张威(1995- ),男,山东潍坊人,南京邮电大学硕士生,主要研究方向为图像处理|刘林峰(1981- ),男,江苏丹阳人,博士,南京邮电大学教授、硕士生导师,主要研究方向为移动计算、计算机网络、机器学习
  • 基金资助:
    国家自然科学基金资助项目(61872191);江苏省“六大人才高峰”高层次人才基金资助项目(2019-XYDXX-247)

Image defogging algorithm based on guided filtering and adaptive tolerance

Xianli JIN,Wei ZHANG,Linfeng LIU()   

  1. School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
  • Revised:2020-03-23 Online:2020-05-25 Published:2020-05-30
  • Supported by:
    The National Natural Science Foundation of China(61872191);Six Talents Peak Project of Jiangsu Province(2019-XYDXX-247)

摘要:

针对暗通道算法在对天空区域去雾存在失真的问题,提出一种基于引导滤波和自适应容差机制的图像去雾算法。首先,计算出不同尺寸窗口的拟合透射率图;然后,通过引导滤波对透射率进行细化处理,再利用自适应容差机制对天空区域的透射率进行修正;最后,将复原图像从RGB空间转换到HSV空间,对图像的亮度和对比度进行色彩补偿。实验结果表明,所提算法复原图像具有较高的清晰度,在处理天空等明亮区域时也能取得较好的去雾效果。

关键词: 图像去雾, 引导滤波, 自适应容差, 暗通道先验, 透射率

Abstract:

Aiming at the problem of distortion of dark channel algorithm in defogging the sky region,an improved image defogging algorithm based on the guided filtering and adaptive tolerance mechanism was proposed.Firstly,the fitted transmissivity graphs were calculated for the windows with different sizes.Then,the transmissivity was further refined by the guided filtering technique.After that,the transmissivity in sky area was revised by an adaptive tolerance mechanism.Finally,the restored image was converted from RGB space to HSV space,and thus the brightness and contrast of the images could be color compensated.Experimental results show that the proposed algorithm restores the images effectively and obtain preferable defogging results with regard to the processing of bright areas such as the sky areas.

Key words: image defogging, guided filtering, adaptive tolerance, dark channel prior, transmissivity

中图分类号: 

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