A Method to Enhance the Fog Image Based on Dark Object Subtraction

Jing Zhang; Wei Dong; Jian Xin Wang; Xu Ning Liu

doi:10.4028/www.scientific.net/AMM.543-547.2484

Paper Titles

Study on Virtual Separation Technology in Radio Fuse Tactical Performance Tests Isolation Technology
p.2466

Speaker Recognition Study Based on Optimized Baum-Welch Algorithm
p.2471

Method of ID – BTS Tag Recognition Based on the QT Protocol
p.2474

Haze Removal for a Single Image Using Adaptive Template Dark Channel Prior
p.2480

A Method to Enhance the Fog Image Based on Dark Object Subtraction
p.2484

Power OTN Communications Transmission Performance Simulation Calculation
p.2488

Performance Evaluation of a New Secured Coded Hybrid Spread Spectrum System under Effect of Different Channels Types
p.2492

Entirely Blind Image Quality Assessment Estimator
p.2496

A New Method for Angle Estimation in MIMO Radar with Blind Source Separation
p.2500

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547A Method to Enhance the Fog Image Based on Dark...

A Method to Enhance the Fog Image Based on Dark Object Subtraction

Abstract:

Aiming at the problem of poor image contrast and low visibility, a single image contrast enhancement method is put forward in this paper. The method is based on Dark-object subtraction technique, translating the fog degraded image from RGB color space to YIQ color space, and taking out the Y component. Then using the maximum entropy method to get the threshold value of image segmentation, we can put different portion of the image according to the different formula for image restoration. The processed image must be converted from YIQ color space to RGB color space In the back of the steps. Finally, the image needs a linear dynamic range adjustment to enhance the contrast and brightness. Experiments show that the method can effectively remove haze effect on the image. The dehazing effect of the processed image is obvious. The image becomes clear and bright, and the details is outstanding, which is convenient for observation and analysis.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2484-2487

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2484

Citation:

Cite this paper

Online since:

March 2014

Authors:

Jing Zhang*, Wei Dong, Jian Xin Wang, Xu Ning Liu

Keywords:

Dark-Object Subtraction, Fog Image, Image Enhance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Kaiming He, Jian Sun, and Xiaoou Tang, Single image haze removal using dark channel prior, in Computer Vision and Pattern Recognition, IEEE Conference , 2009, p.1956 -(1963).

DOI: 10.1109/cvpr.2009.5206515

Google Scholar

[2] Raanan Fattal, Single image dehazing, ACM SIGGRAPH 2008 papers, 2008, p.72: 1-72: 9.

DOI: 10.1145/1399504.1360671

Google Scholar

[3] Fang Li, Haoxian Wang etc. Fast Single Image Defogging Algorithm, Computer Engineering and Design, Vol. 32(2011), pp.4129-4132.

Google Scholar

[4] Haoran Xu, Jianming Guo, Qing Liu etc. Fast Image Dehazing Using Improved Dark Channel Prior, Proc. IEEE Conf. Information Science and Technology, 2012, pp.663-667.

DOI: 10.1109/icist.2012.6221729

Google Scholar

[5] Yan Wang, Bo Wu, Jin Gu. A dehazing method of single image, Electro-optic and control Vol 18(2011), pp.65-67.

Google Scholar

[6] Jianguo Jiang, Tianfeng Hou, Meibin Qi. Improved image based on dark channel prior to fog algorithm. Journal of circuits and systems, Vol 4 (2011), pp.7-12.

Google Scholar