桂林理工大学学报2017，Vol.37Issue(4)：658-664,7.DOI:10.3969/j.issn.1674-9057.2017.04.017
结合边界约束和引导滤波的航空图像去雾算法
Aerial image haze removal algorithm based on boundary constraint and guided filter
摘要
Abstract
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.关键词
图像去雾/暗通道优先/边界约束/透射率/引导滤波Key words
image defogging/dark channel priority/boundary constraint/transmission/guided filter分类
天文与地球科学引用本文复制引用
李飞达,唐诗华,蓝岚,王江波,王凯..结合边界约束和引导滤波的航空图像去雾算法[J].桂林理工大学学报,2017,37(4):658-664,7.基金项目
国家自然科学基金项目(41461089) （41461089）
广西自然科学基金项目(2014GXNSFAA118288) （2014GXNSFAA118288）
广西空间信息与测绘重点实验室基金项目(1103108-06) （1103108-06）
