Dehazing for Image and Video Using Guided Filter


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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.


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