基于边界邻域最大值滤波的快速图像去雾算法

陈露; 和红杰; 陈帆

doi:doi:10.3788/gzxb20144311.1110003

光子学报, 2014, 43 (11): 1110003, 网络出版: 2014-12-08

基于边界邻域最大值滤波的快速图像去雾算法

A Fast Image Defogging Algorithm Based on Edge-maximum Filter

论文大纲

陈露 ^*和红杰陈帆

作者单位

西南交通大学信号与信息处理四川省重点实验室, 成都 610031

图像处理图像增强雾霭边缘检测光晕现象颜色保真度 Image processing Image enhancement Fog Edge detection Halo effects Color fidelity

摘要

为解决现有去雾算法结果中存在的光晕现象、颜色失真等问题, 提出一种基于边界邻域最大值滤波的图像去雾方法.首先通过边缘检测寻找图像边界被低估的暗原色值并对其进行边界邻域最大值滤波, 以得到更为准确的透射率图来消除光晕现象; 其次对暗原色图乘以一个尺度因子, 扩大透射率的取值范围, 提高去雾结果的对比度; 最后设置两个亮度阈值以及一个平坦阈值, 消除图像中高亮度物体的影响, 获得更为准确的大气光值, 使得去雾结果颜色保真度较高.仿真结果表明, 与现有去雾算法相比, 本文算法对含高亮度物体以及含细节信息的带雾图像, 均可消除光晕现象, 获得高对比度及高颜色保真度的去雾结果, 同时也提高了算法的处理速度.

Abstract

A fast image defogging algorithm based on edge-maximum filter was proposed to address halo effect and color distortion caused by the existing defogging methods. Firstly, an edge-maximum filter was used to recover the undervalued dark pixels obtained by edge detection, which was to receive an accurate transmission map and eliminate the halo effect. Then in order to gain a high contrast dehazing image, all the dark pixels were multiplied by a scaling factor to improve the dynamic ranges of the transmission. Finally, two brightness thresholds and one flat threshold were set to eliminate the influence of high light objects in the image and obtain a more accurate airlight, which keeps a high color fidelity in the dehazing image. The simulation results show that the proposed method, compared with other algorithms, could eliminate the halo effect and achieve the dehazing image with high contrast and high color fidelity, especially for the images containing high light objects or rich details. Meanwhile, the computational speed is also improved.

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陈露, 和红杰, 陈帆. 基于边界邻域最大值滤波的快速图像去雾算法[J]. 光子学报, 2014, 43(11): 1110003. CHEN Lu, HE Hong-jie, CHEN Fan. A Fast Image Defogging Algorithm Based on Edge-maximum Filter[J]. ACTA PHOTONICA SINICA, 2014, 43(11): 1110003.

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