An Improved Enhancement Algorithm of Fog Surveillance Image

Journal of Atmospheric and Environmental Optics ›› 2018, Vol. 13 ›› Issue (4): 309-314.

Previous Articles Next Articles

An Improved Enhancement Algorithm of Fog Surveillance Image

WANG Zhendong1, JIANG Julang1*, MA Hongliang1, CHENG Gang2

( 1 School of Physics and Electrical Engineering, Anqing Normal University, Anqing 246133, China;
2 College of Mechanical Engineering, Anhui University of Science & Technology, Huainan 232001, China)

Received:2017-08-22 Revised:2017-09-07 Online:2018-07-28 Published:2018-07-10
Contact: 江巨浪 (1967-), 男,安徽潜山人,博士,教授,主要从事图形图像处理方面的研究。 E-mail:jiangjulang1@126.com
About author:王振东 (1992-), 男,安徽枞阳人,硕士,主要从事图形图像处理方面的研究。
Supported by:
Supported by National Natural Science Foundation of China(国家自然科学基金, 11604002, 51607004)

Abstract

Abstract:

Video surveillance or laser imaging is widely used in atmospheric environment monitoring, but the image quality is inevitably reduced in fog weather. In order to meet the need of contrast enhancement and noise suppression in foggy image, an improved image enhancement algorithm for foggy image is proposed. Firstly, the original image is enhanced by bidirectional histogram equalization processing and fusion. Then the same method is used to deal with the low-frequency coefficient matrix which obtained by wavelet decomposition of the last fused image. Finally the output image can be obtained by wavelet reconstruction of the processing result and the high frequency coefficient matrix. Experimental results show that the proposed algorithm can achieve better contrast enhancement and noise suppression performance in fog surveillance images.

Key words: image enhancement, histogram equalization, fog surveillance image, wavelet domain

CLC Number:

TP391.41

WANG Zhen-Dong, JIANG Ju-Lang, MA Hong-Liang, CHENG Gang. An Improved Enhancement Algorithm of Fog Surveillance Image[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(4): 309-314.

References

[1] Gonzalez R C, Woods R E. Digital Image Processing [M]. 3rd ed. Transl. by Ruan Qiuqi. Beijing: Publishing House of Electronics Industry, 2011: 72-88.
Gonzalez R C, Woods R E. 数字图像处理 [M]. 第三版. 阮秋琦, 译. 北京:电子工业出版社, 2011: 72-88.
[2] Dai Shubo, Xu Wei, Piao Yongjie, et al. Remote sensing defogging based on dark channel prior [J]. Acta Electronica Sinica, 2017, 37(3): 348-354(in Chinese).
代书博, 徐伟, 朴永杰, 等. 基于暗原色先验的遥感图像去雾方法 [J].光学学报, 2017, 37(3): 348-354.
[3] Kim Y T. Enhancement using brightness preserving bi-histogram equalization [J]. IEEE Transactions on Consumer Electronics, 1997, 43(1): 1-8.
[4] Wang Y, Chen Q, Zhang B. Image enhancement based on equal area dualistic sub-image histogram equalization method [J]. IEEE Transactions on Consumer Electronics, 1999, 45(1): 68-75.
[5] Kim J Y, Kim L S, Hwang S H. An advanced contrast enhancement using partially overlapped sub -block histogram equalization [J]. IEEE Transactions on Circuits and Systems for Video Technique, 2001, 11(4): 475-484.
[6] Jiang Julang, Zhang Yousheng, Xue Feng, et al. Local histogram equalization with brightness preservation [J]. Acta Electronica Sinica, 2006, 34(5): 861-866(in Chinese).
江巨浪, 张佑生, 薛峰, 等. 保持图像亮度的局部直方图均衡算法 [J]. 电子学报, 2006, 34(5): 861-866.
[7] Zhang Yanhong, Hou Dewen. An image enhancement algorithm based on wavelet frequency division and bi-histogram equalization [J]. Computer Applications and Software, 2007, 107(122): 108-122(in Chinese).
张燕红, 侯德文. 基于小波分频和二次均衡的图像增强算法 [J]. 计算机应用与软件, 2007, 107(122): 108-122.
[8] Kong Lingjun, Nie Peng, Sun Yewei. Low contrast color image enhancement algorithm based on adaptive threshold [C]. Proceedings of the Fourth China Academic Conference on Printing and Packaging, 2015(in Chinese).
孔玲君, 聂鹏, 孙叶维. 基于自适应阈值的低对比度彩色图像增强算法 [C]. 第四届中国印刷与包装学术会议论文集, 2015.
[9] He K M, Sun J, Tang X O, et al. Single image haze removal using dark channel prior [C]. Processdings of the IEEE Conference on Computer Vision and Pattern recognition Miami:IEEE, 2009: 1956-1963.
[10] He K M, Sun J, Tang X O. Guided image filtering [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.
[11] Jiang J L, Wang Z D, Wu Z X, et al. Histogram equalization algorithm for color image based on wavelet domain and HSI color space [J]. Journal of Anqing Teachers College: Natural Science Edition, 2016, 22(2): 26-29(in Chinese).
江巨浪, 王振东, 伍兆祥, 等. HSI色彩空间的彩色图像小波域直方图均衡算法 [J]. 安庆师范学院: 自然科学版, 2016, 22(2): 26-29.

An Improved Enhancement Algorithm of Fog Surveillance Image

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 4

Recommended Articles

Metrics

Comments

[1]	WU Hai-Bin, ZHOU Ying-Wei, ZHOU Yu-Run, CHEN Xin-Bing, LIU Xiang, GAO Peng. Corner Detection of Black White Checkerboard Based on Hessian Matrix [J]. Journal of Atmospheric and Environmental Optics, 2013, 8(5): 395-400.
[2]	LIU Jing, LIU Xiao, YI Wei-Ning, HUANG Gong-Lian. A White Balance Method for Multi-spectral Color Synthesis Image [J]. Journal of Atmospheric and Environmental Optics, 2012, (4): 282-.
[3]	SHI Hai-Liang, ZHOU Shao-Guang, XU Yong. Urban Road Detection of High Resolution Remote Sensing Images Based on Snakes Model [J]. Journal of Atmospheric and Environmental Optics, 2011, 6(2): 106-.
[4]	LI Yong, FAN Cheng-yu, SHI Dong-feng. Atmospheric Turbulence-Degraded Image Blind Restoration Method Using the Accelerated and Regularized RL Algorithm [J]. Journal of Atmospheric and Environmental Optics, 2011, 6(5): 342-350.