Polarization angle information enhancement method based on polarimetric array imaging

被引:0
|
作者
Shi, Lei [1 ]
Wang, Xin [1 ,2 ]
Pu, Xiankun [1 ]
Ma, Yiming [1 ]
Han, Han [1 ]
Gao, Jun [1 ]
机构
[1] Hefei Univ Technol, Sch Comp & Informat, Hefei 230601, Anhui, Peoples R China
[2] Hefei Univ Technol, Intelligent Interconnected Syst Lab Anhui Prov, Hefei 230601, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
DIVISION; CAMERA; TIME;
D O I
10.1364/AO.505186
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Polarization imaging, based on the measurement of polarization parameters containing specific physical information, has found extensive applications across various domains. Among these parameters, polarization angle information plays a crucial role in revealing texture details. However, in practical scenarios, noise during image acquisition can lead to significant degradation of polarization angle information. To address this issue, we introduce a novel, to the best of our knowledge, polarization angle information enhancement method based on polarimetric array imaging. Our proposed method utilizes the principles of polarimetric array imaging to effectively restore texture information embedded within polarization angle images. Through the deployment of a self-designed polarimetric array imaging system, we conducted experiments in diverse scenes to validate the efficacy of our approach. The acquired polarization angle data were subjected to our method for enhancement. The experimental outcomes distinctly illustrate the noise suppression capabilities of our method, showcasing its ability to faithfully reconstruct intricate details obscured by substantial noise interference. (c) 2024 Optica Publishing Group
引用
收藏
页码:437 / 444
页数:8
相关论文
共 50 条
  • [1] Polarimetric imaging method for target enhancement in haze based on polarimetric retrieval
    Zhang, Wenfei
    Liang, Jian
    Xing, Fei
    Man, Zhongsheng
    Ge, Xiaolu
    Fu, Shenggui
    JOURNAL OF MODERN OPTICS, 2019, 66 (11) : 1235 - 1243
  • [2] Rapid underwater target enhancement method based on polarimetric imaging
    Tian, Heng
    Zhu, Jingping
    Tan, Shuwen
    Zhang, Yunyao
    Zhang, Yang
    Li, Yingchao
    Hou, Xun
    OPTICS AND LASER TECHNOLOGY, 2018, 108 : 515 - 520
  • [3] Visibility enhancement of hazy images based on a universal polarimetric imaging method
    Liang, Jian
    Ren, Li-Yong
    Ju, Hai-Juan
    Qu, En-Shi
    Wang, Ying-Li
    JOURNAL OF APPLIED PHYSICS, 2014, 116 (17)
  • [4] Visibility enhancement of hazy images based on a universal polarimetric imaging method
    Liang, Jian, 1600, American Institute of Physics Inc. (116):
  • [5] Polarimetric dehazing method for dense haze removal based on distribution analysis of angle of polarization
    Liang, Jian
    Ren, Liyong
    Ju, Haijuan
    Zhang, Wenfei
    Qu, Enshi
    OPTICS EXPRESS, 2015, 23 (20): : 26146 - 26157
  • [6] Polarimetric SAR target decomposition method based on independent polarization orientation angle integration
    Li N.
    Hu C.
    Wang W.
    Quan S.
    Xiang D.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2023, 52 (12): : 1 - 4
  • [7] Robust Azimuth Measurement Method Based on Polarimetric Imaging for Bionic Polarization Navigation
    Wan, Zhenhua
    Zhao, Kaichun
    Chu, Jinkui
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (08) : 5684 - 5692
  • [8] Interferometric hyperspectral polarization imaging method based on micro-polarization array
    Bai C.
    Li J.
    Zhou J.
    Liu Q.
    Xu W.
    1600, Chinese Society of Astronautics (46):
  • [9] A Method to Optimize Cross-polarization of Full Polarimetric Conformal Antenna Array
    Zhang, Jihong
    Chai, Shun-Lian
    Zhao, Fei
    Xiao, Ke
    2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS), 2016, : 1990 - 1993
  • [10] Propagator Method-Based Joint Estimation of Angle and Polarization for Bistatic MIMO Radar with Polarization Sensitive Array
    Zhou, Ming
    Zhang, Xiaofei
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 4473 - 4476