电子学报2017，Vol.45Issue(9)：2127-2134,8.DOI:10.3969/j.issn.0372-2112.2017.09.011
基于多光源模型的夜晚雾天图像去雾算法
Nighttime Image Defogging Based on Multiple Light Source Model
摘要
Abstract
Multiple light sources cause the low visibility in the brightest region in nighttime images,a glow term was defined in the traditional atmospheric scattering model.A defogging model was constructed for nighttime foggy images.Based on the model,a nighttime image defogging algorithm was proposed.The algorithm decomposed the original image into a nighttime foggy image layer and a glow image layer,and then the color-shift correction operation and the guided filter were applied for the foggy image layer.Thus,the defogging results can be obtained.Comparisons with dark channel prior method,fast median filter method,image color transfer method,and nighttime imaging model method verified the effectiveness of the proposed algorithm.This algorithm can be applied in such devices as vehicle collision avoidance systems,traffic surveillance systems,and other recognition systems.关键词
夜晚/图像/去雾/多光源/发光图像Key words
nighttime/image/defogging/multiple light source/glow image分类
信息技术与安全科学引用本文复制引用
郭璠,邹北骥,唐琎..基于多光源模型的夜晚雾天图像去雾算法[J].电子学报,2017,45(9):2127-2134,8.基金项目
国家自然科学基金(No.61502537,No.61573380) （No.61502537,No.61573380）
湖南省科技计划重点研发项目(No.2015WK3006) （No.2015WK3006）
中南大学博士后基金资助项目(No.126648) （No.126648）
