华侨大学学报（自然科学版）Issue(3)：263-268,6.DOI:10.11830/ISSN.1000-5013.2015.03.0263
引导滤波在雾天图像清晰化中的应用
Application of Guided Filter to Haze Image Sharpening
摘要
Abstract
According to the physical model of atmospheric scattering,this paper analyses and addresses major problems for single image haze removal to eliminate the effects of fog or haze for outdoor machine vision system.The experimental results show that the proposed method overcomes the limits of halo artifacts and over-saturation through estimating the atmospheric veil using the local smoothing characteristics of guided filter.By computing the average values of the most dense haze to obtain the global atmospheric light intensity,this algorithm could adjust the color cast of the image.Final-ly,a post-processing procedure is adopted to enhance the visual effect of the recovered image.As compared with typical haze removal algorithms,the proposed method achieves good restoration for contrast and color fidelity more effectively and allows a very fast implementation to achieve real-time.关键词
雾天图像/引导滤波/去雾算法/大气散射模型/大气光幕/图像增强Key words
haze image/guided filter/haze removal algorithm/atmospheric scattering model/atmospheric veil/image enhancement分类
信息技术与安全科学引用本文复制引用
王伟鹏,戴声奎..引导滤波在雾天图像清晰化中的应用[J].华侨大学学报（自然科学版）,2015,(3):263-268,6.基金项目
福建省科技计划重点基金资助项目（2013H0030）；中央高校基本科研业务费，国家自然科学基金培育计划专项基金资助项目 （）
