Dehazing for Image and Video Using Guided Filter

摘要：

　　Poor visibility in bad weather,such as haze and fog,is a major problem for many applications of computer vision.Thus,haze removal is highly required for receiving high performance of the vision algorithm.In this paper,we propose a new fast dehazing method for real-time image and video processing.The transmission map estimated by an improved guided filtering scheme is smooth and respect with depth information of the underlying image.Results demonstrate that the proposed method achieves good dehazeing effect as well as real-time performance.The proposed algorithm,due to its speed and ability to improve visibility,may be used with advantages as pre-processing in many systems ranging from surveillance,intelligent vehicles,to remote sensing.

关键词： Image dehazing dark channel prior guided filter down-sampling

作者: Zheqi Lin Xuansheng Wang

作者单位: School of Information Science & Technology, Sun Yat-sen University, Guangzhou, 510006, China Shenzhen Key Laboratory of Digital Living Network and Content Service Research Institute of Sun Yat-sen University in Shenzhen, Shenzhen, 518057,China

会议类型: 国际会议

会议名称: 2012年国际工程应用数学研讨会

会议地点: 北京

会议语种:英文

页码: 123-127

在线出版日期: 2012-10-26（万方平台首次上网日期，不代表论文的发表时间）