计算机应用与软件Issue(2)：189-193,5.DOI:10.3969/j.issn.1000-386x.2015.02.047
一种自适应的图像去雾算法
AN ADAPTIVE ALGORITHM OF IMAGE HAZE REMOVAL
摘要
Abstract
Image haze removal algorithm based on priori rules of image dark channel is a rather advanced model-based image haze removal algorithm,but there are also some shortcomings and deficiencies,e.g.heavy computation load,long processing time and possible failure in haze removal.In view of these problems,we propose a self-adaptive image haze removal algorithm,which uses dark dots priority-based expansion algorithm to improve computation speed on dark channel of images;uses guided filtering algorithm to rapidly refine the transmission graph and ameliorates “halo”phenomenon.Haze removal parameters are calculated adaptively according to the features of the image itself and thus the haze removal failures are effectively cut down.As the result of experiment it is demonstrated that the new algorithm can dynamically adapt to image features and adaptively regulates correlated parameters,its computation efficiency and effect are better,and can meet the requirement of video haze removal.关键词
自适应去雾/暗通道/视频去雾Key words
Adaptive haze removal/Dark channel/Video haze removal分类
信息技术与安全科学引用本文复制引用
刘夏,陈和平,陈黎,顾进广..一种自适应的图像去雾算法[J].计算机应用与软件,2015,(2):189-193,5.基金项目
国家自然科学基金项目（60803160，61100133，61272110）；武汉市科技攻关计划项目（201110821236）；武汉市科技局晨光计划项目 （）
