摘要
图像去雾是在恶劣天气条件下增强图像视觉质量所广泛使用的一种技术。为了避免雾天条件对图像分析的干扰并提高图像的质量,基于暗通道先验的知识,提出了一种自适应透射率补偿函数的去雾方法。提出了自适应透射率增益方法,并给出了简单有效的函数参数自动确定方法,提高了算法的自适应性。对比了几种典型的去雾方法,结果显示,该算法有效解决了复原雾天图像时明亮区域色彩失真的问题,去雾效果真实自然。
Image defogging is a widely used technique to enhance image visual quality under severe weather condition.In order to avoid the interference of image analysis under foggy condition and improve image quality,based on the dark channel prior,a defogging method with adaptive transmittance compensation function is proposed.An adaptive transmittance gain method is proposed,and a simple and effective method for automatic determination of function parameters is given to improve the algorithm's adaptability.Compared with several typical defogging methods,the experiment denotes that the algorithm effectively solves the problem of color distortion in the bright area during image restoration in foggy days,and the defogging effect is real and natural.
作者
王高峰
李琨
刘梦尼
高涛
陈婷
WANG Gaofeng;LI Kun;LIU Mengni;GAO Tao;CHEN Ting(Guizhou Yupeng Co.,Ltd.,Guiyang 550014,China;School of Information Engineering,Chang’an University,Xi’an 710000,China)
出处
《电子设计工程》
2021年第23期158-161,共4页
Electronic Design Engineering
基金
贵州省科技计划项目([2019]2009,[2019]2042)
贵阳高新区科技计划项目(GXCX-2018-006)。
关键词
图像去雾
透射率
暗通道
透射率增益
image defogging
transmittance
dark channel
transmittance gain
