计算机工程Issue(2)：241-243,245,4.DOI:10.3969/j.issn.1000-3428.2014.02.051
基于景深的单幅图像快速去雾算法
Quick Defogging Algorithm for Single Image Based on Field Depth
张仁斌 1李兴兴 1夏宏丽1
作者信息
- 1. 合肥工业大学计算机与信息学院，合肥 230009
- 折叠
摘要
Abstract
Imaging in the atmosphere is often degraded by scattering due to atmospheric particles such as haze, fog, and mist, which brings great inconvenience to the imaging of computer vision system. This paper presents a method based on the depth of field of the single image defogging algorithm quickly to solve this problem. Through dark channel prior on image processing, it gets image transmission chart, thereby simplifies the atmospheric scattering model. It uses depth of field information estimation of atmospheric scattering model to get the depth relationships of scene edge. Through nearly horizontal death ratio improving transmission chart, it uses bilateral filtering for image edge processing. Starting from three color channels reduces the effect of wavelength on estimating depth of field. Experimental results show that this algorithm can effectively recover scene edge contrast details, and effectively improves image clarity, resulting in a great improvement in image visibility.关键词
图像去雾/大气散射模型/暗通道/颜色通道/景深/双边滤波Key words
image defogging/atmospheric scattering model/dark channel/color channel/field depth/bilateral filtering分类
信息技术与安全科学引用本文复制引用
张仁斌,李兴兴,夏宏丽..基于景深的单幅图像快速去雾算法[J].计算机工程,2014,(2):241-243,245,4.
