Dehazing for Image and Video Using Guided Filter

作     者：Zheqi Lin Xuansheng Wang 

作者机构：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 518057China 

出 版 物：《Open Journal of Applied Sciences》 (应用科学（英文）)

年 卷 期：2012年第2卷第4期

页      面：123-127页

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Image dehazing dark channel prior guided filter down-sampling 

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.