计算机与现代化Issue(5)：40-47,52,9.DOI:10.3969/j.issn.1006-2475.2015.05.009
单幅图像去雾算法
Single Image Haze Removal Algorithm
摘要
Abstract
At present , mast of the haze removal algorithms ignore the color distortion problem , especially in areas with high brightness .This paper proposes a single image haze removal algorithm using the bilateral filtering to ensure the image detail and color information at the same time .First of all, the Butterworth low-pass filter is used to directly estimate the background air light in order to avoid the errors caused by different sizes of images and different blocks of images .Then, the bilateral filter is used to estimate the atmospheric light curtains instead of the soft matting process in He ’ s algorithm to obtain the optimum transmission di-agram and improve the computational efficiency .Finally, the brightness gain function is used to restore color in the HSV space . Compared with several classical algorithms , simulation experimental results verify the color calibration and the effectiveness of the proposed algorithm .关键词
巴特沃斯低通滤波/双边滤波/HSV/亮度增益函数/颜色校正Key words
Butterworth low-pass filter/bilateral filter/HSV/brightness gain function/color calibration分类
信息技术与安全科学引用本文复制引用
陈伟,范新南,李敏,汪耕任..单幅图像去雾算法[J].计算机与现代化,2015,(5):40-47,52,9.基金项目
国家自然科学基金资助项目 （）
