Author(s)

Zheqi Lin, Xuansheng Wang

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.

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.

Image dehazing; dark channel prior; guided filter; down-sampling

Lin, Z. and Wang, X. (2012) Dehazing for Image and Video Using Guided Filter. Open Journal of Applied Sciences, 2, 123-127. doi: 10.4236/ojapps.2012.24B030.