Markov random fields defogging based on local consistency

被引：0
|
作者：
Sui P. [1 ]
Bi D. [1 ]
Ma S. [1 ]
He L. [1 ]
机构：
[1] Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an
来源：
| 1600年 / Chinese Institute of Electronics卷 / 39期
关键词：
Color attenuation; Image defogging; Local consistency; Markov random fields (MRF);
D O I：
10.3969/j.issn.1001-506X.2017.05.31
中图分类号：
学科分类号：
摘要：
To overcome the limitation of dark channel prior's application, and strengthen the first-order Markov random fields (MRF) constraint ability of the global image information, a local consistent MRF defogging method is proposed based on color attenuation. First, combining with the advantages of color attenuation and dark channel priors, a more robust estimation of medium transmission is obtained. Then, the cost function is constructed with the color features based consistent blocks instead of Markov random fields' two-order and higher-order energy terms. Finally, the defogged image is obtained.The experimental results show that this method could improve the image resolution. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1154 / 1159
页数：5
相关论文
共 10 条
  • [1] Li Q.H., Zha Y.F., Xiong L., Et al., Novel method for haze degraded image scene rendition, Journal of Xidian University, 40, 5, pp. 99-106, (2013)
  • [2] Li Q.H., Bi D.Y., He L.Y., Degradation process simulation model and its use in image enhancement, Journal of Xidian University, 38, 6, pp. 185-192, (2011)
  • [3] Tao L.M., Wang Q.F., Di H.J., Markov random field in visual information processing, Journal of Image and Graphics, 14, 9, pp. 1705-1711, (2009)
  • [4] Fattal R., Single image dehazing, ACM Trans. on Graphics, 27, 3, pp. 1-9, (2008)
  • [5] Caraffa L., Tarel J.P., Markov random field model for single image defogging, Proc. of the IEEE Intelligent Vehicles Symposium, pp. 994-999, (2013)
  • [6] Robby T., Visibility in bad weather from a single image, Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8, (2008)
  • [7] Yu M., Hu Z.Y., Higher-order Markov random fields and their applications in scene understanding, Acta Automatica Sinica, 41, 7, pp. 1213-1234, (2015)
  • [8] He K.M., Sun J., Tang X., Single image haze removal using dark channel prior, IEEE Trans. on Pattern Analysis and Machine Intelligence, 33, 12, pp. 2341-2353, (2011)
  • [9] Fattal R., Dehazing using color-lines, ACM Trans. on Graphics, 34, 1, pp. 1-14, (2014)
  • [10] Zhu Q.S., Mai J.M., Shao L., A fast single image haze removal algorithm using color attenuation prior, IEEE Trans. on Image Processing, 24, 11, pp. 3522-3533, (2015)
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