Curvelet transform and contrast adaptive clip histogram equalization-based image defogging algorithm

doi:10. 19682/ j. cnki. 1005-8885. 2018. 1010

中国邮电高校学报(英文版) ›› 2018, Vol. 25 ›› Issue (2): 96-104.doi: 10. 19682/ j. cnki. 1005-8885. 2018. 1010

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Curvelet transform and contrast adaptive clip histogram equalization-based image defogging algorithm

Wang Qi, Wang Shigang, Jia Bowen, Du Hailong

College of Telecommunication Engineering, Jilin University, Changchun 130012, China

收稿日期:2017-09-08 修回日期:2018-03-23 出版日期:2018-04-30 发布日期:2018-07-02
通讯作者: Wang Shigang, E-mail: wangshigang@vip. sina. com E-mail:wangshigang@vip.sina.com
作者简介:Wang Shigang, E-mail: wangshigang@vip. sina. com
基金资助:
This work was supported by the National Natural Science Foundation of China (61631009, 41704103).

Curvelet transform and contrast adaptive clip histogram equalization-based image defogging algorithm

Wang Qi, Wang Shigang, Jia Bowen, Du Hailong

College of Telecommunication Engineering, Jilin University, Changchun 130012, China

Received:2017-09-08 Revised:2018-03-23 Online:2018-04-30 Published:2018-07-02
Contact: Wang Shigang, E-mail: wangshigang@vip. sina. com E-mail:wangshigang@vip.sina.com
About author:Wang Shigang, E-mail: wangshigang@vip. sina. com
Supported by:
This work was supported by the National Natural Science Foundation of China (61631009, 41704103).

摘要/Abstract

摘要： Due to the scattering effect of suspended particles in the atmosphere, foggy day images have reduced visibility and contrast significantly. Considering the loss of details and uneven defogging results of the contrast limited adaptive histogram equalization (CLAHE) algorithm, a curvelet transform and contrast adaptive clip histogram equalization (HE)-based foggy day image enhancement algorithm is proposed. The proposed algorithm transforms an image to the curvelet domain and enhances the image detail information via a nonlinear transformation of high frequency curvelet coefficients. After curvelet reconstruction, the contrast adaptive clip HE method is adopted to enhance the total image contrast and the foggy day image contrast and detail information. During the histogram clipping process, the clip limit value is adaptively selected based on image contrast and the sub-block image histogram variance. A comparative analysis of the foggy day image enhancement results are obtained by applying CLAHE, and some classical single image defogging algorithms and the proposed algorithm are also conducted to prove the effectiveness of the proposed algorithm with objective parameters.

关键词: defogging, clip limit, contrast adaptive clip HE, curvelets transform

Abstract: Due to the scattering effect of suspended particles in the atmosphere, foggy day images have reduced visibility and contrast significantly. Considering the loss of details and uneven defogging results of the contrast limited adaptive histogram equalization (CLAHE) algorithm, a curvelet transform and contrast adaptive clip histogram equalization (HE)-based foggy day image enhancement algorithm is proposed. The proposed algorithm transforms an image to the curvelet domain and enhances the image detail information via a nonlinear transformation of high frequency curvelet coefficients. After curvelet reconstruction, the contrast adaptive clip HE method is adopted to enhance the total image contrast and the foggy day image contrast and detail information. During the histogram clipping process, the clip limit value is adaptively selected based on image contrast and the sub-block image histogram variance. A comparative analysis of the foggy day image enhancement results are obtained by applying CLAHE, and some classical single image defogging algorithms and the proposed algorithm are also conducted to prove the effectiveness of the proposed algorithm with objective parameters.

Key words: defogging, clip limit, contrast adaptive clip HE, curvelets transform

中图分类号:

TN911.7

Wang Qi, Wang Shigang, Jia Bowen, Du Hailong. Curvelet transform and contrast adaptive clip histogram equalization-based image defogging algorithm[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2018, 25(2): 96-104.

参考文献

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Curvelet transform and contrast adaptive clip histogram equalization-based image defogging algorithm

Curvelet transform and contrast adaptive clip histogram equalization-based image defogging algorithm

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