基于改进暗通道算法的图像去雾研究
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  • 英文篇名:Image Dehazing Based on Improved Dark Channel Prior Algorithm
  • 作者:程磊 ; 刘勇军
  • 英文作者:CHENG Lei;LIU Yong-jun;College of Mechanical and Energy Engineering,Huanghuai University;
  • 关键词:计量学 ; 图像去雾 ; 改进暗通道算法 ; 大气光值 ; 透射率 ; 颜色补偿
  • 英文关键词:metrology;;image dehazing;;IDCP;;atmospheric light;;transmittance;;color compensation
  • 中文刊名:JLXB
  • 英文刊名:Acta Metrologica Sinica
  • 机构:黄淮学院机械与能源工程学院;
  • 出版日期:2019-03-22
  • 出版单位:计量学报
  • 年:2019
  • 期:v.40;No.179
  • 基金:河南省科技攻关计划资助项目(182102310045);; 驻马店市工业科技攻关课题(17204)
  • 语种:中文;
  • 页:JLXB201902008
  • 页数:5
  • CN:02
  • ISSN:11-1864/TB
  • 分类号:46-50
摘要
为了提高图像去雾效果,提出一种改进暗通道(IDCP)算法,通过缩小图像结合3个暗通道线性拟合方法对透射率进行精确计算,在大气值一定区间内利用四叉树细分算法求取图像的大气光值最终估计值,为避免图像饱和度偏低进行了颜色补偿。实验仿真显示该算法去雾后的图像在视觉上更加清新自然,对不同的图像的客观评价值优于其他算法。
        In order to improve the effect of image dehazing,an improved dark channel prior( IDCP) algorithm was proposed. Transmittance was calculated accurately with narrow image and three dark channel prior linear fitting method,atmospheric light was estimated by four fork tree algorithm within a certain interval,color was compensated in order to avoid the image lower saturation. Experimental results show that IDCP is more refreshing and natural in vision,and the comprehensive evaluation value of different images is better than other algorithms.
引文
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