Image haze removal algorithm for transmission lines based on weighted Gaussian PDF

Wanguo Wang; Jingjing Zhang; Li Li; Zhenli Wang; Jianxiang Li; Jinlong Zhao

doi:10.1117/12.2179556

4 March 2015 Image haze removal algorithm for transmission lines based on weighted Gaussian PDF

Wanguo Wang, Jingjing Zhang, Li Li, Zhenli Wang, Jianxiang Li, Jinlong Zhao

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94431E (2015) https://doi.org/10.1117/12.2179556
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

Histogram specification is a useful algorithm of image enhancement field. This paper proposes an image haze removal algorithm of histogram specification based on the weighted Gaussian probability density function (Gaussian PDF). Firstly, we consider the characteristics of image histogram that captured when sunny, fogging and haze weather. Then, we solve the weak intensity of image specification through changing the variance and weighted Gaussian PDF. The performance of the algorithm could removal the effective of fog and experimental results show the superiority of the proposed algorithm compared with histogram specification. It also has much advantage in respect of low computational complexity, high efficiency, no manual intervention.

Citation Download Citation

Wanguo Wang, Jingjing Zhang, Li Li, Zhenli Wang, Jianxiang Li, and Jinlong Zhao "Image haze removal algorithm for transmission lines based on weighted Gaussian PDF", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431E (4 March 2015); https://doi.org/10.1117/12.2179556

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