Higher-order Markov Random Fields Defogging Based on Color Lines

BI Duyan; SUI Ping; HE Linyuan; MA Shiping

doi:10.11999/JEIT151308

Volume 38 Issue 9

Sep. 2016

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2405-2409

BI Duyan, SUI Ping, HE Linyuan, MA Shiping . Higher-order Markov Random Fields Defogging Based on Color Lines[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2405-2409. doi: 10.11999/JEIT151308

Citation:

BI Duyan, SUI Ping, HE Linyuan, MA Shiping . Higher-order Markov Random Fields Defogging Based on Color Lines[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2405-2409. doi: 10.11999/JEIT151308

Citation:

PDF( 18773 KB)

Higher-order Markov Random Fields Defogging Based on Color Lines

doi: 10.11999/JEIT151308 cstr: 32379.14.JEIT151308

Funds:

The National Natural Science Foundation of China (61372167, 61379140)

Received Date: 2015-11-23
Rev Recd Date: 2016-04-15
Publish Date: 2016-09-19

Abstract

Abstract

Compared with the first-order Markov random fields, higher-order Markov random fields could incorporate more statistical priors, thus have much expressive power of modeling. And the defogged images which based on dark channel prior have much error in sky regions and big white blocks. To solve those problems, this paper proposes a Markov random fields defogging method based on Color Lines. This method corrects the dark channel prior, according to the color lines which has a good robustness to color distortion, then uses the higher-order Markov random fields to optimize the transmission image to obtain final defogged image. The experimental results show that this method could improve the image resolution, while maintaining more image details.
- Image defogging,
- Dark channel prior,
- Higher-order Markov random fields,
- Color Lines

FullText(HTML)

References(15)

References

周妍, 李庆武, 霍冠英. 基于非下采样Contourlet变换系数直方图匹配的自适应图像增强[J]. 光学精密工程, 2014, 22(8): 2214-2222. doi: 10.3788/OPE.20142208.2214.

ZHOU Yan, LI Qingwu, and HUO Guanying. Adaptive image enhancement based on NSCT coefficient histogram matching [J]. Optics and Precision Engineering, 2014, 22(8): 2214-2222. doi: 10.3788/OPE.20142208.2214.

SEOW M J and ASARI V K. Ratio rule and homomorphic filter for enhancement of digital color image[J]. Neurocomputing, 2006, 69(7/9): 954-958. doi: 10.1016 /j.neucom.2005.07.003.

赵宏宇, 萧创柏, 禹晶. 马尔科夫随机场模型下的Retinex夜间彩色图像增强[J]. 光学精密工程, 2014, 22(4): 1048-1055. doi: 10.3788/OPE.20142204.1048.

ZHAO Hongyu, XIAO Chuangbo, and YU Jing. A Retinex algorithm for night color image enhancement by MRF[J]. Optics and Precision Engineering, 2014, 22(4): 1048-1055. doi: 10.3788/OPE.20142204.1048.

NARASIMHAN S G and NAYAR S K. Chromatic frame-work for vision in bad weather[C]. IEEE Conference on Computer Vision Pattern Recognition, South Carolina, USA, 2000, 1: 598-605.

NARASIMHAN S G and NAYAR S K. Interactive (de) weathering of an image using physical models[C]. IEEE Workshop on Color and Photometric Methods in Computer Vision, Nice, France, 2003: 1-8.

TAN R T. Visibility in bad weather from a single image[C]. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, USA, 2008: 1-8. doi: 10.1109/ CVPR.2008.4587643.

FATTAL R. Single image dehazing[J]. ACM Transactions on Graphics, 2008, 27(3): 1-9. doi: 10.1145/1360612.1360671.

HE K, SUN J, and TANG X. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353. doi: 10.1109/ TPAMI.2010.168.

余淼, 胡占义. 高阶马尔科夫随机场及其在场景理解中的应用[J]. 自动化学报, 2015, 41(7): 1213-1234. doi: 10.16383/ j.aas.2015.c140684.

YU Miao and HU Zhanyi. Higher-order Markov random fields and their applications in scene understanding[J]. Acta Automatica Sinica, 2015, 41(7): 1213-1234. doi: 10.16383/ j.aas.2015.c140684.

FATTAL R. Dehazing using color-lines[J]. ACM Transactions on Graphics, 2014, 34(1): 1-14. doi: 10.1145/2651362.

CHAO S and TSAI D. An improved anisotropic diffusion model for detail and edges-preserving smoothing[J]. Pattern Recognition Letters, 2010, 31(13): 2012-2023. doi: 10.1016/ j.patrec.2010.06.004.

ANDREW B, PUSHMEET K, and Carsten R. Markov Random Fields for Vision and Image Processing[M]. Massachusetts London, England, The MIT Press, Cambridge, 2011: 311-328.

Relative Articles

Supplements(0)

Cited By

Proportional views