摘要
基于暗通道先验的去雾算法是最具有代表性的图像复原算法之一,但仅仅利用暗通道去雾的图像会产生一定程度的颜色失真。针对单幅图像暗通道先验算法造成的图像色彩失真问题,提出了一种基于小波变换的色阶补偿方法。将待去雾图像的低频通道和粗暗通道去雾后图像的高频通道添加合适的权重,之后通过小波变换将待去雾图像与粗暗通道处理过后得到的图像进行多次融合,从而基于原有图像的色阶对暗通道处理造成的颜色失真进行一定程度的补偿。采用信息熵为依据的客观计算机评价,将该算法与其他去雾算法进行比较。仿真结果表明,补偿过后的图像具有较好的观测效果,优于仅采用暗通道先验去雾算法的图像。
The algorithm based on dark channel priori is one of the most representative image restoration algorithms, but only using the dark channel to defogging the image will produce a certain degree of color distortion. In order to solve the problem of image color distortion caused by the prior algorithm of single image dark channel, a color order compensation method based on wavelet transform is proposed. After making the low-frequency passage of the fog image about the dark passage to the fog and the high-frequency channels of the image to with the right weight, and through the little wave transformation to the image of the fog image have a lot of fusion with the thick-dark-path image. Based on the color order of the original image, a certain amount of compensate to the color distortion of the dark channel is done. What＇ s more, comparison is carried out with other defogging algorithms based on the objective computer evaluation of comentropy. The simulation results show that the image effect after compensation has good observation effect, which is better than the image using only the dark channel prior defogging algorithm
作者
丁奇安
徐晓光
王珍
DING Qi＇an;XU Xiaoguang;WANG Zhen(College of Electrical Engineering,Anhui Polytechnic University,Wuhu 241000,China)
出处
《四川理工学院学报（自然科学版）》
CAS
2018年第5期43-48,共6页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
基金
安徽高校省级自然科学研究重点项目(KJ2014A024)
关键词
暗通道
去雾算法
小波变换
色阶
图像融合
信息熵
dark channel
defog algorithm
wavelet transform
color level
image fusion
comentropy
