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Optical Engineering

Universal strategy for surveillance video defogging
Author(s): Bin Xie; Fan Guo; Zixing Cai
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Paper Abstract

We present a new approach to remove haze from surveillance video sequences. This approach extracts the background image through the frame differential method, uses the dark channel prior to estimate the atmospheric light, and then calculates a universal transmission map on the intensity component of the background image through a process of multiscale retinex, parameter adjustment, bilateral filtering, and total variation denoising filtering. Finally, it renders haze-free video according to the haze image model. The main advantage of the proposed approach is its speed as this approach adopts a "universal strategy" that applies the same atmospheric light and a universal pseudo-transmission map to a series of video frames. Experiments demonstrate that our method produces visually pleasing defogging results and tends to preserve main details better than previous techniques. A comparative study and quantitative evaluation show the efficiency of the proposed method.

Paper Details

Date Published: 18 May 2012
PDF: 8 pages
Opt. Eng. 51(10) 101703 doi: 10.1117/1.OE.51.10.101703
Published in: Optical Engineering Volume 51, Issue 10
Show Author Affiliations
Bin Xie, Central South Univ. (China)
Fan Guo, Central South Univ. (China)
Zixing Cai, Central South Univ. (China)

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