Dehazing for Image and Video Using Guided Filter

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.

DOI: 10.4236/ojapps.2012.24B030                

Abstract

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Y. Schechner, S. Narasimhan and S. Nayar, “Instant dehazing of images using polarization,” In Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 1–325, 2001.
[2]	S. Shwartz, E. Namer and Y. Schechner, “Blind haze separation,” In Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 1984–1991, 2006.
[3]	S. K. Nayar and S. G. Narasimhan, “Vision in bad weather,” In Proc. IEEE Conf. Computer Vision, vol. 2, pp. 820–827, 1999.
[4]	S. G. Narasimhan and S.K. Nayar, “Interactive Deweathering of an Image Using Physical Models,” Proc. IEEE Workshop Color and Photometric Methods in Computer Vision, in Conjunction with IEEE Int’l Conf. Computer Vision, Oct. 2003.
[5]	J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, “Deep Photo: Model-Based Photograph Enhancement and Viewing,” ACM Trans. Graphics, vol. 27, no. 5, pp. 116:1-116:10, 2008.
[6]	R. Tan, “Visibility in Bad Weather from a Single Image,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, June 2008.
[7]	R. Fattal, “Single Image Dehazing,” Proc. ACM SIGGRAPH ’08, 2008.
[8]	K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel prior,” In Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.
[9]	J. Tarel and N. Hautiere, “Fast visibility restoration from a single color or gray level image,” In Proc. IEEE Conf. Computer Vision, pp. 2201–2208, 2009.
[10]	Chunxia Xiao, Jiajia Gan, “Fast image dehazing using guided joint bilateral filter,” Vis Comput, vol. 28, pp. 713-721, 2012
[11]	S.G. Narasimhan and S.K. Nayar, “Vision and the Atmosphere,” International Journal of Computer Vision, vol. 48, pp. 233-254, 2002.
[12]	K. He, J. Sun and X. Tang, “Guided image filtering,” In Computer Vision – ECCV 2010, vol. 6311, pp. 1–14, 2010