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.
Cite this paper
nullLin, 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.
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