首页 > 论文 > 激光与光电子学进展 > 57卷 > 22期(pp:221009--1)

基于大气光偏振层析的雾天图像重构方法

Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

为了提高偏振去雾方法对大气光估计的准确度,提出一种基于大气光偏振层析的雾天图像重构方法。在偏振空间下,将大气光梯度先验信息作为约束条件,对原始雾天偏振图像进行分层,估计大气光偏振图像;然后从大气光偏振图像中解析大气光,实现对大气光的偏振层析;最后,结合所提雾天图像偏振重构模型,并在大气光图像中估计无穷远处大气光,实现对雾天图像的去雾重构。实验结果表明,所提方法提高了大气光估计的准确度,进而使重构图像更清晰、目标还原度更高,且适用于不同浓度下的雾天图像重构。

Abstract

To improve the accuracy of airlight estimation in polarization dehazing methods, a method for haze image reconstruction based on polarization layering and analysis of airlight is proposed. In the polarization space, the gradient prior information of the airlight is used as a constraint condition, and the original polarized hazy image is layered to estimate the polarized image of the airlight. This allows the analysis of the airlight from the polarized images, and the polarization layering and analysis of the airlight can be realized. Finally, by combining the proposed polarization reconstruction model of haze images and the estimation of atmospheric light at infinity in airlight images, a clear haze-free image is reconstructed. The experimental results show that the proposed method improves the accuracy of airlight estimation, provides a clearer reconstructed image, and provides a higher target restoration degree. The proposed method is suitable for haze image reconstruction under different concentrations.

广告组1 - 空间光调制器+DMD
补充资料

中图分类号:O436.1

DOI:10.3788/LOP57.221009

所属栏目:图像处理

基金项目:国家自然科学基金、安徽省高等学校自然科学研究项目;

收稿日期:2020-03-02

修改稿日期:2020-04-10

网络出版日期:2020-11-01

作者单位    点击查看

邵子奇:合肥工业大学计算机与信息学院, 安徽 合肥 230601
金海红:合肥工业大学计算机与信息学院, 安徽 合肥 230601安徽建筑大学电子与信息工程学院, 安徽 合肥 230601
钱立进:合肥工业大学计算机与信息学院, 安徽 合肥 230601
范之国:合肥工业大学计算机与信息学院, 安徽 合肥 230601

联系人作者:范之国(fzghfut@163.com)

备注:国家自然科学基金、安徽省高等学校自然科学研究项目;

【1】Liang J, Ju H J, Zhang W F, et al. Review of optical polarimetric dehazing technique [J]. Acta Optica Sinica. 2017, 37(4): 0400001.
梁健, 巨海娟, 张文飞, 等. 偏振光学成像去雾技术综述 [J]. 光学学报. 2017, 37(4): 0400001.

【2】Schechner Y Y, Narasimhan S G, Nayar S K. Instant dehazing of images using polarization . [C]∥Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, December 8-14, 2001, Kauai, HI, USA. New York: IEEE. 2001.

【3】Wang Y, Xue M G, Huang Q C. Polarization dehazing algorithm based on atmosphere background suppression [J]. Computer Engineering. 2009, 35(4): 271-272, 275.
王勇, 薛模根, 黄勤超. 基于大气背景抑制的偏振去雾算法 [J]. 计算机工程. 2009, 35(4): 271-272, 275.

【4】Peng W Z. Polarization dehazing algorithm based on atmosphere scattering model [J]. Electronic Measurement Technology. 2011, 34(7): 43-45, 61.
彭文竹. 基于大气散射模型的偏振图像去雾算法 [J]. 电子测量技术. 2011, 34(7): 43-45, 61.
Peng W Z. Polarization dehazing algorithm based on atmosphere scattering model [J]. Electronic Measurement Technology. 2011, 34(7): 43-45, 61.
彭文竹. 基于大气散射模型的偏振图像去雾算法 [J]. 电子测量技术. 2011, 34(7): 43-45, 61.

【5】Zeng Z Y, Zhou Y T, Chi Y, et al. Dark channel prior dehazing algorithm based on sky optimization of digital image [J]. Laser & Optoelectronics Progress. 2018, 55(8): 081010.
曾致远, 周亚同, 池越, 等. 天空优化的数字图像暗通道先验去雾算法 [J]. 激光与光电子学进展. 2018, 55(8): 081010.

【6】Fang S, Xia X S, Zhao Y K, et al. Image haze removal using polarization analysis [J]. Journal of Hefei University of Technology (Natural Science). 2015, 38(4): 468-473.
方帅, 夏秀山, 赵育坤, 等. 利用偏振分析的雾天图像复原 [J]. 合肥工业大学学报(自然科学版). 2015, 38(4): 468-473.

【7】Liu F, Cao L, Shao X P, et al. Polarimetric dehazing utilizing spatial frequency segregation of images [J]. Applied Optics. 2015, 54(27): 8116-8122.

【8】Zhao L J, Gao J, Bi R, et al. Polarization defogging method based on maximum and minimum intensity images [J]. Journal of Applied Optics. 2017, 38(3): 415-420.
赵录建, 高隽, 毕冉, 等. 基于最大和最小光强图像的偏振去雾方法 [J]. 应用光学. 2017, 38(3): 415-420.

【9】Li X B, Hu H F, Zhao L, et al. Pseudo-polarimetric method for dense haze removal [J]. IEEE Photonics Journal. 2019, 11(1): 6900611.

【10】Lü X N, Liu Y Y, Tan Z, et al. A polarizing universal multi-scale and real-time image defogging algorithm [J]. Acta Photonica Sinica. 2019, 48(8): 0810003.
吕晓宁, 刘扬阳, 谭政, 等. 一种偏振普适性多尺度实时的图像去雾算法 [J]. 光子学报. 2019, 48(8): 0810003.

【11】Yang A P, Wang H X, Wang J B, et al. Image dehazing based on transmission fusion and multi-guided filtering [J]. Acta Optica Sinica. 2018, 38(12): 1210001.
杨爱萍, 王海新, 王金斌, 等. 基于透射率融合与多重导向滤波的单幅图像去雾 [J]. 光学学报. 2018, 38(12): 1210001.

【12】Zhang S, Zhan J T, Fu Q, et al. Polarization detection defogging technology based on multi-wavelet fusion [J]. Laser & Optoelectronics Progress. 2018, 55(12): 122602.
张肃, 战俊彤, 付强, 等. 基于多小波融合的偏振探测去雾技术 [J]. 激光与光电子学进展. 2018, 55(12): 122602.

【13】Bickel W S, Videen G W. Polarized light-scattering applications and measurements of fundamental systems [J]. Proceedings of SPIE. 1992, 1746: 14-21.

【14】Cox L J. Optics of the atmosphere-scattering by molecules and particles [J]. Journal of Modern Optics. 1977, 24(7): 779.

【15】Levin A, Zomet A, Weiss Y. Learning to perceive transparency from the statistics of natural scenes[C]∥Advances in Neural Information Processing Systems 2003, December 8-13, 2003, Vancouver, British Columbia, Canada. New York: , 2003.

【16】Levin A, Weiss Y. User assisted separation of reflections from a single image using a sparsity prior [M]. ∥Pajdla T, Matas J. Computer vision - ECCV 2004. Lecture notes in computer science. Berlin, Heidelberg: Springer. 2004, 3021: 602-613.

【17】Geman D, Yang C. Nonlinear image recovery with half-quadratic regularization [J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society. 1995, 4(7): 932-946.

【18】Wang Y L, Yang J F, Yin W T, et al. A new alternating minimization algorithm for total variation image reconstruction [J]. SIAM Journal on Imaging Sciences. 2008, 1(3): 248-272.

【19】He K M, Sun J, Tang X O. Guided image filtering [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35(6): 1397-1409.

引用该论文

Shao Ziqi,Jin Haihong,Qian Lijin,Fan Zhiguo. Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221009

邵子奇,金海红,钱立进,范之国. 基于大气光偏振层析的雾天图像重构方法[J]. 激光与光电子学进展, 2020, 57(22): 221009

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF