基于暗通道先验的单幅图像去雾新算法

doi:10.11896/jsjkx.200700160

计算机科学 ›› 2021, Vol. 48 ›› Issue (7): 219-224.doi: 10.11896/jsjkx.200700160

• 计算机图形学&多媒体 • 上一篇下一篇

基于暗通道先验的单幅图像去雾新算法

何涛¹, 赵停¹, 徐鹤^2,3

1 南京邮电大学电子与光学工程学院南京210023
2 南京邮电大学计算机学院、软件学院、网络空间安全学院南京 210023
3 江苏省无线传感网高技术研究重点实验室南京210003

收稿日期:2020-07-26 修回日期:2020-10-06 出版日期:2021-07-15 发布日期:2021-07-02
通讯作者: 徐鹤(xuhe@njupt.edu.cn)
基金资助:
国家重点研发计划项目(2019YFB2103003);国家自然科学基金(61672296,61872196,61872194,61902196);江苏省科技支撑计划项目(BE2019740);江苏省高等学校自然科学研究重大项目(18KJA520008);江苏省六大人才高峰高层次人才项目(RJFW-111).

Novel Algorithm of Single Image Dehazing Based on Dark Channel Prior

HE Tao¹, ZHAO Ting¹, XU He^2,3

1 College of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
2 School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
3 Jiangsu Key Laboratory of Wireless Sensor Network High Technology Research,Nanjing 210003,China

Received:2020-07-26 Revised:2020-10-06 Online:2021-07-15 Published:2021-07-02
About author:HE Tao,born in 1972,Ph.D,lecturer.His main research interests include the survivability of wireless sensor networks,the spectrum allocation of mobile cognitive radio networks,and the QoS routing of computer networks.(het@njupt.edu.cn)
XU He,born in 1985,Ph.D,associate professor,is a member of China Computer Federation.His main research interests include Internet of Things technology application and information security.
Supported by:
National Key R&D Program of China(2019YFB2103003),National Natural Science Foundation of China(61672296,61872196,61872194,61902196),Scientific and Technological Support Project of Jiangsu Province(BE2019740),Major Natural Science Research Projects in Colleges and Universities of Jiangsu Province(18KJA520008) and Six Talent Peaks Project of Jiangsu Province(RJFW-111).

摘要/Abstract

摘要： 由于暗通道先验去雾算法会使天空等明亮区域产生颜色失真、偏移等问题,对此文中提出基于暗通道先验的单幅图像去雾新算法,提高了图像去雾效果。首先,根据图像的大小设计了一种自适应滤波窗口;其次,为了防止图像中的高亮像素对大气光值估计的影响,利用变差函数去除这些高亮像素,并结合去除高亮像素后图像的暗通道图,估计大气光值;然后,提出了一种结合结构相似性的暗通道先验去雾改进算法,并对透射率进行优化、修正;接着,利用大气散射模型恢复出无雾图像;最后,利用RGB模型和HIS模型的相互转化,增强恢复图像的亮度。实验结果表明,该算法不仅能对图中景物进行较好的去雾,还能较好地处理天空等明亮区域,使处理后的图像有很好的视觉效果。

关键词: 暗通道先验, 导向滤波, 结构相似性, 明亮区域, 图像去雾

Abstract: Because the dark channel prior defogging algorithm will cause color distortion and offset in bright areas such as the sky,a novel algorithm of single image dehazing based on dark channel prior is proposed to improve the image defogging effect.Firstly,according to the size of the image,an adaptive filtering window is designed.Next,in order to prevent the influence of the highlight pixels in the image on the estimation of the atmospheric light value,the variogram is used to remove the highlight pi-xels,and the atmospheric light value is estimated by combining the dark channel map of the image after removing the highlight pi-xel.Then,an improved dark channel prior defogging algorithm combined with structural similarity is proposed,and the transmittance is optimized and corrected.And then,the atmospheric scattering model is used to recover the fog-free image.Finally,the mutual conversion of the RGB model and the HIS model are used to enhance the brightness of the restored image.The experimental results show that the proposed algorithm can not only better dehaze the scene in the picture,but also better deal with bright areas such as the sky,so that the processed image has a good visual effect.

Key words: Bright area, Dark channel prior, Guided filter, Image dehazing, Structural similarity

中图分类号:

TP391

何涛, 赵停, 徐鹤. 基于暗通道先验的单幅图像去雾新算法[J]. 计算机科学, 2021, 48(7): 219-224. https://doi.org/10.11896/jsjkx.200700160

HE Tao, ZHAO Ting, XU He. Novel Algorithm of Single Image Dehazing Based on Dark Channel Prior[J]. Computer Science, 2021, 48(7): 219-224. https://doi.org/10.11896/jsjkx.200700160

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基于暗通道先验的单幅图像去雾新算法

Novel Algorithm of Single Image Dehazing Based on Dark Channel Prior

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