AUTHORS: Ke Wang, Dongqiang Wang, Zhoubing Xiong
Download as PDF
ABSTRACT: In order to improve the low visibility and poor contrast of video, in this study, we propose a haze video enhancement algorithm based on guide filtering method. In the paper, firstly, we simplified the atmospheric attenuation model. Then, the current concentration of haze is estimated based on dark channel priori theory. After that, a guide filter of brightness channel was used to obtain current haze coverage. Videos are recovered based on the results of estimation of haze concentration and coverage. To improve the efficiency of the algorithm, highly time-consuming stage of haze concentration is implemented in initialization phase, and an indicator of video definition is used to control the procedure of subsequent module. Experimental results show that the algorithm can effectively improve the contrast and sharpness of video while with highly computational efficiency. The proposed method can meet the needs of video haze removing
KEYWORDS: Intelligence vehicle, haze removal, brightness guide filtering, dark channel estimation
REFERENCES:
[1] Xie Pan, Chai Zhixin, Xie Bin, Video Defogging Algorithm Based on Fog Theory, ATCA Electronica Sinica, 2011, VOL.39, No.9, pp. 2019-2029.
[2] Provenzi E, Fierro M, Rizzi A, et al, Random spray Retinex: a new Retinex implementation to investigate the local properties of the model, IEEE Transactions on Image Processing, 2007, Vol.16, No.1, pp. 162-171.
[3] Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, et a.l, Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing, 2004, Vol.13, No.4, pp. 600-612.
[4] McCartney E J, Optics of the atmosphere： Scattering by molecule and particles, New York：John Wiley and Sons, 1976.
[5] Kaiming He,Jian Sun,Xiaoou Tang, Single image haze removal using dark channel prior, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, USA:IEEE Computer Society,2009, pp.1956-1963.
[6] He K M，Sun J，Tang X O, Guided image filtering, Proceedings of the 11th European Conference on Computer Vision, Heraklion， Crete ， Greece: Lecture Notes in Computer Science, 2010, pp.1-14.
[7] Jobson D, Rahman Z, Woodell G A, A multiscale retinex for bridging the gap between color images and the human observation of scenes, IEEE Transactions on Image Processing, 1997, Vol.6, No.7, pp. 965-976.
[8] Youku online video labortary, http://www.youku.com/.
