Foggy image enhancement based on multi-block coordinated single-scale Retinex

被引：0
|
作者：
Gao Y. [1 ]
Hu H. [2 ]
机构：
[1] Information Sciences Academe, China Electronic Technology Group Corporation, Beijing
[2] School of Computer Science and Engineering, Beihang University, Beijing
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2019年 / 45卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Foggy image; Image decomposition; Image defogging; Image enhancement; Multi-block enhancement;
D O I：
10.13700/j.bh.1001-5965.2018.0528
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
Aimed at the problem that the existing algorithms are not ideal to enhance foggy images with non-uniform fog distribution, this paper proposes a foggy image enhancement algorithm based on multi-block coordinated single-scale Retinex. Different from traditional Retinex algorithms that use the global statistic to obtain dynamic truncation values, the proposed algorithm first divides the image into several sub-blocks to calculate dynamic truncation values suitable for different areas with different concentrations of fog. Then,the dynamic range of detail information is adjusted with these dynamic truncation values to obtain multiple locally optimal images. Finally, the final enhancement image is calculated by fusing multiple optimal local images. This strategy enables the enhancement of detail in each area of a foggy image. The experimental results show that the proposed algorithm can effectively remove the non-uniform fog and ensure that the brightness of defogged image is kept within a range suitable for human eyes. © 2019, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：944 / 951
页数：7
相关论文
共 39 条
  • [31] Zia R., Properties of a center/surround Retinex: Part 1.Signal processing design: cr198194, (1995)
  • [32] Jobson D.J., Glenn A.W., Properties of a center/surround Retinex: Part 2.Surround design: tm110188, (1995)
  • [33] Rahman Z.U., Jobson D.J., Woodell G.A., Multi-scale Retinex for color image enhancement, IEEE International Conference on Image Processing, pp. 1003-1006, (2002)
  • [34] Wang W., Li B., Zheng J., Et al., A fast multi-scale Retinex algorithm for color image enhancement, IEEE International Conference on Wavelet Analysis and Pattern Recognition, pp. 80-85, (2008)
  • [35] Xiao S.B., Li Y., Fast multiscale Retinex algorithm of image haze removal with color fidelity, Computer Engineering and Applications, 51, 6, pp. 176-180, (2015)
  • [36] Wang J., Lu K., Xue J., Et al., Single image dehazing based on the physical model and MSRCR algorithm, IEEE Transactions on Circuits and Systems for Video Technology, 28, 9, pp. 2190-2199, (2017)
  • [37] He K.M., Sun J., Tang X.O., Guided image filtering, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 6, pp. 1397-1409, (2013)
  • [38] Ye Z., Mohamadian H., Ye Y., Discrete entropy and relative entropy study on nonlinear clustering of underwater and arial images, IEEE International Conference on Control Applications, pp. 313-318, (2007)
  • [39] Hautiere N., Tarel J.P., Aubert D., Et al., Blind contrast enhancement assessment by gradient ratioing at visible edges, Image Analysis and Stereology, 27, 2, pp. 87-95, (2008)
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