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| Defogging Algorithm of Lossy Compression Video Image |
| LI Long-Li, LIU Qing, GUO Jian-Ming, ZHOU Sheng-Hui |
| School of Automation, Wuhan University of Technology, Wuhan 430063 |
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Abstract The traditional defogging algorithm used in the conventional industrial images acquired by the lossy compression of video images can t meet the real time constraint. And it also will form a number of irregular regions. The irregular regions cause lots of regions of color non-uniformity after defogging and seriously affect defogging result. Wavelet transform is presented to divide image into high and low frequency sub-band to find out the irregular regions. Then the transmissions of these regions are treated. And the image is recovered by using dark channel prior. Meanwhile, aiming at the problem that much more complicated computation in the matting algorithm of traditional dark channel prior is required, the method of the combination of linear interpolation smoothing and threshold recovery is proposed to instead of the matting algorithm. Thus, storage capacity and computation complexity are reduced effectively. The proposed algorithm meets the real-time request. Simulation results show the effectiveness of the proposed algorithm.
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Received: 21 August 2010
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2011, Vol. 24 
