基于暗原色先验的单幅图像快速去雾算法singleimage-计算机应用.pdfVIP

Journal of Computer Applications ISSN 1001-9081 2016- 【-10 计算机应用,2016, 【( 【): 【- 【 CODEN JYIIDU 文章编号:1001-9081(2016) 【-0000-00 doi:10.11772/j.issn.1001-9081.2016. 【.0000 基于暗原色先验的单幅图像快速去雾算法 1,2 1,2* 王雅婷 ，冯子亮 (1.四川大学 计算机学院，成都 610065； 2.视觉合成图形图像技术国家重点学科实验室，成都 610065) (*通信作者电子邮箱fengziliang@) 摘 要: 针对雾天环境下图像清晰度降低以及色调偏移问题，提出一种基于暗原色先验的单幅图像快速去雾算法。首先使 用灰度开运算代替最小值滤波得到粗略暗通道图，根据方差标记出雾天图像各个景深突变区的位置，并对突变区的暗原色值 进行细化求解；其次求解出透射率的粗略估计并使用引导滤波来进行优化；然后使用一种自适应的容差机制对天空等明亮区 域的透射率进行动态修正；最后利用大气散射模型复原出无雾图像。实验表明，与几种典型的图像去雾算法相比，该算法具 有较快的处理速度，同时得到的复原图像细节突出、色彩丰富。 关键词: 图像去雾；暗原色先验；引导滤波；容差；图像复原 中图分类号:TP391.41 图像识别及其装置 文献标志码: A Single image fast dehazing method based on dark channel prior WANG Yating1,2, FENG Ziliang1,2* (1.College of Computer Science, Sichuan University, Chengdu Sichuan 610065, China; 2. National key Laboratory of Fundamental Science on Synthetic Vision , Chengdu Sichuan 610065, China) Abstract: To solve the bad influence on images in foggy days such as the decrease of definition and color deviation problem, a fast dehazing method for single image based on dark channel prior was proposed. Firstly, min filter was replaced by the gray-scale opening operation to obtain the rough dark channel map, and regions which showed the sudden changes in the foggy image were marked based on the variance so that small window was used to correct the dark channel value in these areas. Next, the rough transmission map was acquired and guided filter was adopted t