|
|
|
|
|
|
Study on the Polarization Spectral Image Dehazing |
XIA Pu1,2, LIU Xue-bin1* |
1. Key Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
2. University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
Abstract Air pollution has a serious effect on the quality of image, and image taking under hazy weather suffers from poor contrast and resolution. It is of great significance to use the polarimetric spectral information for image dehazing and the research of polarization dehazing for spectral data cube. The data used in this paper was pushbroomed under moderate hazy weather, and original Vis-NIR polarimetric data of 380~1 000 nm was captured, the original polarimetric images at 450, 550, 650, 750, 850 nm and the dehazed images were studied. The results of the research showed that wavelength had a significant effect on the difference of gray value between targets and background, and both the dynamic range of gray value and the smoothness of histogram were improved after the dehazing process. On average, the image contrast of the far-field targets increased by 5 times. The far-field targets at 450 nm had the lowest contrast, and the dehazing process increased the image contrast by 7.13 times which made the undetectable targets detectable. The far-field targets at 850 nm had the highest contrast, and the dehazing process increased the image contrast by 3.86 times. The dynamic range of histogram of the full image increased to 13.5% to 28.6% from 450 to 850 nm, the dynamic range of histogram of the near-field targets are increased to 33.3% to 44.0%. Based on the analyzation of the possible estimation error, two correction factors were proposed to revise the degree of polarization of the airlight and the intensity of the airlight from an object at an infinite distance, the regularity of the two factors were given to guide the image dehazing process under new conditions. The polarimetric information is obtained through the original data by the Stokes parameters, the dehazing process is based on the polarimetric difference between the air light scattered from the haze particles and the direct light reflected from the objects. The polarization spectral dehazing technique not only expands the application area of the imaging spectrometer, but also provides a new idea for image dehazing.
|
Received: 2016-02-24
Accepted: 2016-06-07
|
|
Corresponding Authors:
LIU Xue-bin
E-mail: lxb@opt.ac.cn
|
|
[1] Yan Jinpei,Chen Liqi,Lin Qi, et al. Atmospheric Environment,2015,113(14): 118.
[2] Kong Shaofei,Li Xuxu,Li Li,et al. Science of the Total Environment,2015,520(20): 59.
[3] GUO Hong,GU Xing-fa,XIE Dong-hai,et al(郭 红,顾行发,谢东海,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2014,34(7): 1873.
[4] Liu Fei,Cao Lei,Shao Xiaopeng,et al. Applied Optics,2015,54(27): 8116.
[5] Gibson K B,Vo D T,Nguyen T Q. IEEE Transactions on Image Processing,2012,21(2): 662.
[6] Ko N,Louis K,Stephen L. International Journal of Computer Vision,2012,98(3): 263.
[7] Wang Jinbao,He Ning,Zhang Lulu,et al. Neurocomputing,2015,149(3): 718.
[8] XIA Pu,LIU Xue-bin,YAN Peng(夏 璞,刘学斌,闫 鹏). Journal of Xidian University(西安电子科技大学学报),2016,43(2): 104.
[9] Jason M,Miguel V. Applied Optics,2013,52(9): 1932.
[10] Fang Faming,Li Fang,Zeng Tieyong. SIAM Journal on Imaging Sciences,2014,7(2): 969.
[11] Wang Yuankai,Fan Chingtang. IEEE Transactions on Image Processing,2014,23(11): 4826.
[12] Schechner Y Y,Narasimhan S G,Nayer S K. Applied Optics,2003,42(3): 511. |
[1] |
XU Qiu-yi1, 3, 4, ZHU Wen-yue3, 4, CHEN Jie2, 3, 4, LIU Qiang3, 4 *, ZHENG Jian-jie3, 4, YANG Tao2, 3, 4, YANG Teng-fei2, 3, 4. Calibration Method of Aerosol Absorption Coefficient Based on
Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 88-94. |
[2] |
LIU Shu-hong1, 2, WANG Lu-si3*, WANG Li-sheng3, KANG Zhi-juan1, 2,WANG Lei1, 2,XU Lin1, 2,LIU Ai-qin1, 2. A Spectroscopic Study of Secondary Minerals on the Epidermis of Hetian Jade Pebbles From Xinjiang, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 169-175. |
[3] |
LI Xin-quan1, 2,ZHANG Jun-qiang1, 3*,WU Cong-jun1,MA Jian1, 2,LU Tian-jiao1, 2,YANG Bin3. Optical Design of Airborne Large Field of View Wide Band Polarization Spectral Imaging System Based on PSIM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 250-257. |
[4] |
KANG Ying1, ZHUO Kun1, LIAO Yu-kun1, MU Bing1, QIN Ping2, LI Qian1, LUAN Xiao-ning1*. Quantitative Determination of Alcohol Concentration in Liquor Based on Polarized Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2768-2774. |
[5] |
GUO He-qing1, 2, ZHANG Sheng-zi2*, LIU Xiao-meng2, JING Xu-feng1, WANG Hong-jun2. Research Progress of the Real-Time Detection System of Bioaerosols Based on Fluorescence Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2339-2347. |
[6] |
QI Chen, YU Tao*, ZHANG Zhou-feng, ZHONG Jing-jing, LIU Yu-yang, WANG Xue-ji, HU Bing-liang. Design and Research of a Compact Polarization Spectral Imaging Method Based on Double Gaussian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2082-2089. |
[7] |
WU Zhi-yu1, XIN Zhi-ming2, JIANG Qun-ou1*, YU Yang1, WANG Zi-xuan1. Analysis of Dust Source and Dust Transport Path of a Typical Dust Event in Arid Area of Northwest China Based on HYSPLIT Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1862-1868. |
[8] |
ZHONG Jing-jing1, 2, LIU Xiao1, 3, WANG Xue-ji1, 3, LIU Jia-cheng1, 3, LIU Hong1, 3, QI Chen1, 3, LIU Yu-yang1, 2, 3, YU Tao1, 3*. A Multidimensional Information Fusion Algorithm for Polarization
Spectrum Reconstruction Based on Nonsubsampled Contourlet
Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1254-1261. |
[9] |
ZHANG Zhi-wei1, 2, QIU Rong1, 2*, YAO Yin-xu1, 2, WAN Qing3, PAN Gao-wei1, SHI Jin-fang1. Measurement and Analysis of Uranium Using Laser-Induced
Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 57-61. |
[10] |
LI Yi-chao1, 2, FU Jia1*, LÜ Bo1*, HUANG Yao1, QIAN Jin-ping1, LU Zheng-ping1, FU Sheng-yu1, LI Jian-kang1, WEI Yong-qing3, LIU Dong-mei4, XIAO Bing-jia1. A Photoelastic Modulator Based MSE Spectroscopic Diagnostic on EAST[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 111-115. |
[11] |
JIA Wen-bao1, LI Jun1, ZHANG Xin-lei1, YANG Xiao-yan2, SHAO Jin-fa3, CHEN Qi-yan1, SHAN Qing1*LING Yong-sheng1, HEI Da-qian4. Study on Sample Preparation Method of Plant Powder Samples for Total Reflection X-Ray Fluorescence Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 169-174. |
[12] |
LI Feng1, LIN Jing-jing2, YUN Jie3, ZHANG Shuai4*, WANG He5, ZHANG Hai4, TAO Zong-ming6. Analysis on Variation Characteristics of Air Pollution in Jining City Based on Lidars Networking Observation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3467-3475. |
[13] |
ZHAO Guo-qiang1, QIU Meng-lin1*, ZHANG Jin-fu1, WANG Ting-shun1, WANG Guang-fu1, 2*. Peak Splitting Method of Ion-Beam-Induced-Luminescence Spectrum Based on Voigt Function Fitting[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3512-3518. |
[14] |
CAO Su-qiao1, DAI Hui1*, WANG Chao-wen2, YU Lu1, ZUO Rui1, WANG Feng1, GUO Lian-qiao1. Gemological and Spectral Characteristics of Emeralds From Swat Valley, Pakistan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3533-3540. |
[15] |
SHI Dong-dong, CAO Zhao-bin, HUAN Yan-hua, GONG Yan-chun, WU Wen-yuan, YANG Jun*. Reflection Polarization Spectral Characteristics of High Performance Coating Material La2Zr2O7[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 2995-2999. |
|
|
|
|