Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (20): 221-228.DOI: 10.3778/j.issn.1002-8331.2006-0388

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Single Traffic Sign Image Defogging Algorithm Based on Sky Segmentation

LI Wenlong, LI Xingguang, HU Ranran, CUI Wei   

  1. School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • Online:2021-10-15 Published:2021-10-21



  1. 长春理工大学 电子信息工程学院,长春 130022


For the issues of information loss and color distortion when the existing defogging algorithms are applied to traffic sign images, which lead to the lower quality of the defogged images and can not meet the practical application requirements of Traffic Sign Recognition System(TSRS), a single traffic sign image defogging method based on sky segmentation is proposed. Firstly, according to Otsu algorithm and image gray features, an adaptive threshold is obtained to realize accurate segmentation of sky region and non-sky region. Non-sky area adopts improved DCP approach to defog, introducing adaptive median filter and fast bilateral filter to optimize transmittance, while sky area adopts histogram equalization algorithm to defog. A fog-free image is acquired by fusion. Finally, the Gaussian filter is introduced to clear the severely degraded image after defogging. Experimental results reveal that the comprehensive performance of defogged images in several objective evaluation indexes such as peak signal-to-noise ratio is better than other defogged methods. The proposed method can effectively preserve image information and restore clear images while ensuring lower time complexity, and meet the practical application requirements of TSRS.

Key words: traffic sign image defogging, sky segmentation, dark channel prior, histogram equalization, Gaussian filtering



关键词: 交通标志图像去雾, 天空分割, 暗通道先验, 直方图均衡化, 高斯滤波