计算机工程 ›› 2019, Vol. 45 ›› Issue (1): 226-232.doi: 10.19678/j.issn.1000-3428.0049513

• 图形图像处理 • 上一篇    下一篇

基于改进容差机制的图像去雾算法

杨斌,林志贤,郭太良   

  1. 福州大学 物理与信息工程学院,福州 350100
  • 收稿日期:2017-11-30 出版日期:2019-01-15 发布日期:2019-01-15
  • 作者简介:杨斌(1992—),男,硕士研究生,主研方向为图像处理技术、嵌入式系统;林志贤(通信作者),教授、博士、博士生导师;郭太良,研究员、博士生导师。
  • 基金项目:

    国家重点研发计划(2016YFB0401503);福建省科技重大专项(2014HZ0003-1);广东省科技重大专项(2016B090906001);福建省属高校专项课题(JK2014002)。

Image Haze Removal Algorithm Based on Improved Tolerance Mechanism

YANG Bin,LIN Zhixian,GUO Tailiang   

  1. College of Physics and Information Engineering,Fuzhou University,Fuzhou 350100,China
  • Received:2017-11-30 Online:2019-01-15 Published:2019-01-15

摘要:

传统容差机制图像去雾算法中的容差参数选取受图像是否含天空区域影响,且修正后的透射率容易出现分层现象。为此,提出一种基于颜色衰减先验的容差机制透射率纠正算法。通过判断图像每一像素点的亮度-饱和度差值与原始透射率的比值大小提取天空等明亮区域,根据原始透射率值以及亮度-饱和度差值对该区域透射率进行放大修正,使其趋近于真实值。实验结果表明,在不改变容差参数的情况下,相对基于暗原色先验的图像去雾算法,该算法色调还原度值、峰值信噪比值均有所提升,复原图像质量更好。

关键词: 容差机制, 颜色衰减先验, 暗原色先验, 去雾, 颜色失真, 天空区域

Abstract:

The selection of tolerance parameters in traditional tolerance mechanism image haze removal algorithm is affected by whether the image contains sky area or not,and the modified transmittance is prone to stratification.To slove this problem,a correction algorithm of tolerance mechanism based on color attenuation prior is proposed.By judging the ratio of the brightness-saturation difference to the original transmittance of each pixel in the image,bright areas such as the sky are extracted,and then the transmittance of the area is magnified and corrected according to the original transmittance value and the brightness-saturation difference to make it approach the true value.Experimental results show that,without changing the tolerance parameters,compared with the image haze removal algorithm based on dark channel prior,the tonal reductivity and Peak Signal to Noise Ratio(PSNR) of the proposed algorithm are improved,and the quality of the restored image is better.

Key words: tolerance mechanism, color attenuation prior, dark channel prior, haze removal, color distortion, sky area

中图分类号: