摘要
针对尘雾天气条件下,航空图像受大气粒子的散射作用而导致对比度和色彩保真度差等问题,提出一种结合边界约束和引导滤波的航空图像去雾方法。该方法基于暗通道优先原理估算出大气光强度,通过添加边界约束条件来解目标函数,进而求出透射率,再用引导滤波对透射率进行精细化调整,达到去雾目的。与Fattal、Tarel、He和Meng算法对比分析表明,本文方法运算速度快,能够提高图像的细节清晰度,增大去雾深度,有效克服颜色过饱和现象,去雾图像自然逼真。
In fog weather conditions,contrast and color fidelity of aerial image are poor due to the scattering of the atmosphere particles. A fast defogging method combined with boundary constraint and guided filter in the aerial image is proposed. The method based on the principle of dark channel is used to estimate the atmospheric light intensity. By adding the boundary constraint condition and solving the objective function to calculate the transmission,and then refining the transmission by the guided filter to get the purpose of defogging,the results show that compared with the methods of Fattal,Tarel,He and Meng algorithm,the speed of the proposed method is fast. It can improve the detail clarity and increase the depth of defogging. What is more,it can overcome the color saturation phenomenon effectively and the defogging images are natural and realistic.
作者
李飞达
唐诗华
蓝岚
王江波
王凯
LI Fei-da;TANG Shi-hua;LAN Lan;WANG Jiang-bo;WANG Kai(a. College of Geomatics and Geoinformatio;b. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, Chin)
出处
《桂林理工大学学报》
CAS
北大核心
2017年第4期658-664,共7页
Journal of Guilin University of Technology
基金
国家自然科学基金项目(41461089)
广西自然科学基金项目(2014GXNSFAA118288)
广西空间信息与测绘重点实验室基金项目(1103108-06)
关键词
图像去雾
暗通道优先
边界约束
透射率
引导滤波
image defogging
dark channel priority
boundary constraint
transmission
guided filter