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Journal of Information Science and Engineering, Vol. 32 No. 3, pp. 677-702 (May 2016)

Fast Defogging and Restoration Assessment Approach to Road Scene Images*

1School of Information Science and Engineering
Central South University
Hunan, 410083 P.R. China
2Collaborative Innovation Center of Resource-Conserving and
Environment-Friendly Society and Ecological Civilization
Hunan, 410083 P.R. China

Single image defogging has received increased attention recently. However, most existing methods are generic restoration methods which may cause partial over-enhancing to the image at a short distance. This certainly makes these defogging methods may be not suitable for road images. In this paper, we propose a new image defogging algorithm that divides the original foggy image into three regions and different enhancement processes are performed for the different region. As the results, the far-away region image that is most concerned by a car driver can be moderately enhanced, and over-enhancement of the bottom region image can be also limited effectively. To effectively measure the defogging effects of various algorithms, the assessment methods based on image feature and visibility distance are proposed for road scene image. The comparative study and quantitative evaluation show that the proposed method can obtain very good defogging image with relatively fast speed.

Keywords: road scene, image defogging, region segmentation, defogging effect assessment, image feature, visibility distance

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Received November 30, 2014; revised February 4 & April 1, 2015; accepted May 25, 2015.
Communicated by Chung-Lin Huang.
3 Corresponding author: Hui Peng.
* This work was supported by the National Natural Science Foundation of China (71271215, 71221061, 91220301, 61502537), the Collaborative Innovation Center of Resource-conserving and Environment-friendly Society and Ecological Civilization, the China Postdoctoral Science Foundation (No. 2014M552154), the Hunan Postdoctoral Scientific Program (No. 2014RS4026), and the Postdoctoral Science Foundation of Central South University (No. 126648), and the International Science & Technology Cooperation Program of China (2011DFA10440).