
Proceedings Paper
Image haze removal algorithm for transmission lines based on weighted Gaussian PDFFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper 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.
Paper Details
Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431E (4 March 2015); doi: 10.1117/12.2179556
Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)
PDF: 7 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431E (4 March 2015); doi: 10.1117/12.2179556
Show Author Affiliations
Wanguo Wang, Shandong Electric Power Research Institute Jinan (China)
Shandong Luneng Intelligence Technology Co., Ltd. (China)
Jingjing Zhang, Shandong Luneng Intelligence Technology Co., Ltd. (China)
Li Li, Shandong Luneng Intelligence Technology Co., Ltd. (China)
Shandong Luneng Intelligence Technology Co., Ltd. (China)
Jingjing Zhang, Shandong Luneng Intelligence Technology Co., Ltd. (China)
Li Li, Shandong Luneng Intelligence Technology Co., Ltd. (China)
Zhenli Wang, Shandong Luneng Intelligence Technology Co., Ltd. (China)
Jianxiang Li, Shandong Luneng Intelligence Technology Co., Ltd. (China)
Jinlong Zhao, Shandong Electric Power Research Institute Jinan (China)
Jianxiang Li, Shandong Luneng Intelligence Technology Co., Ltd. (China)
Jinlong Zhao, Shandong Electric Power Research Institute Jinan (China)
Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)
© SPIE. Terms of Use
