Advanced Search
中文
Volume 45 Issue 9
Sep.  2023
Turn off MathJax
Article Contents
Abstract
References
Related Articles
LIU Yanqing, LI Zhongwen, YU Shikong, LIU Yunyi, YAO Wenting, GE Zhihao, JI Li, ZHANG Baohui. Shortwave Infrared Image Dehazing Based on Dark Channel Prior[J]. Infrared Technology , 2023, 45(9): 954-961.
Citation: LIU Yanqing, LI Zhongwen, YU Shikong, LIU Yunyi, YAO Wenting, GE Zhihao, JI Li, ZHANG Baohui. Shortwave Infrared Image Dehazing Based on Dark Channel Prior[J]. Infrared Technology , 2023, 45(9): 954-961.
shu

Shortwave Infrared Image Dehazing Based on Dark Channel Prior

  • 1.

    Kunming Institute of Physics, Kunming 650223, China

  • 2.

    North Night-Vision Science & Technology (Nanjing) Research Institute Co. LTD., Nanjing 211106, China

More Information
  • Received Date: June 14, 2023
  • Revised Date: August 06, 2023
    Graphical Abstract
    • Abstract
  • To solve the problems of blurred image quality and low-resolution weather haze in shortwave infrared imaging systems, a shortwave infrared image-defogging algorithm based on a dark channel prior is proposed. First, the algorithm obtains the dark-channel image data using an improved dark-channel prior. Then, the atmospheric light is estimated based on the dark channel data. To avoid local highlights or blurred details of the target, the transmittance map is refined and enhanced using guided filtering and multi-scale retinex (MSR). Finally, the defogged image is inverted using the atmospheric scattering model. The shortwave infrared image processed by this algorithm was verified in terms of subjective vision and objective indicators, displaying a remarkable defogging effect, rich details, and appropriate brightness.
    • FullText(HTML)
    • References (22)
  • [1]
    WU Q, ZHANG J, REN W, et al. Accurate transmission estimation for removing haze and noise from a single image[J]. IEEE Transactions on Image Processing, 2020, 29: 2583-2597. DOI: 10.1109/TIP.2019.2949392
    [2]
    WANG P, FAN Q, ZHANG Y, et al. A novel dehazing method for color fidelity and contrast enhancement on mobile devices[J]. IEEE Transactions on Consumer Electronics, 2018, 65(1): 47-56.
    [3]
    Yoav Y, Schechner, Srinivasa G, et al. Polarization-based vision through haze[J]. Applied Optics, 2003, 42: 511-525. DOI: 10.1364/AO.42.000511
    [4]
    Narasimhan S G, Nayar S K. Vision and the atmosphere[C]// International Conference on Computer Graphics and Interactive Techniques. ACM, 2008, 48: 233-254.
    [5]
    XU Z, LIU X, CHEN X. Fog removal from video sequences using contrast limited adaptive histogram equalization[C]//International Conference on Computational Intelligence & Software Engineering. IEEE, 2009: 1-4.
    [6]
    LI Jia. Application of image enhancement method for digital images based on Retinex theory[J]. Optik - International Journal for Light and Electron Optics, 2013, 124(23): 5986-5988. DOI: 10.1016/j.ijleo.2013.04.115
    [7]
    Seow M J, Asari V K. Ratio rule and homomorphic filter for enhancement of digital colour image[J]. Neurocomputing, 2006(7/9): 69.
    [8]
    BO J, ZHANG W, ZHAO J, et al. Gray-Scale image dehazing guided by scene depth information[J]. Mathematical Problems in Engineering, 2016, 2016: 1-10.
    [9]
    Tarel J P, N Hautière. Fast visibility restoration from a single color or gray level image[C]//IEEE International Conference on Computer Vision. IEEE, 2010: 2201-2208.
    [10]
    HE K. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 33: 2341-2353.
    [11]
    ZHU Q, MAI J, SHAO L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3522-3533. DOI: 10.1109/TIP.2015.2446191
    [12]
    LI J, ZHANG H, YUAN D, et al. Single image dehazing using the change of detail prior[J]. Neurocomputing, 2015, 156: 1-11. DOI: 10.1016/j.neucom.2015.01.026
    [13]
    Singh V. Single image dehazing using gradient channel prior[J]. Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies, 2019, 49(12): 4276-4293.
    [14]
    林森, 孙彭辉. 改进暗通道窗口与透射率修正的图像去雾[J]. 电光与控制, 2022, 29(11): 55-60. https://www.cnki.com.cn/Article/CJFDTOTAL-DGKQ202211010.htm

    LIN Sen, SUN Penghui. Improved image dehazing with dark channel window and transmittance correction[J]. Electrooptic and control, 2022, 29(11): 55-60. https://www.cnki.com.cn/Article/CJFDTOTAL-DGKQ202211010.htm
    [15]
    Mccann J. Retinex Theory[M]. New York: Springer, 2015.
    [16]
    李娜, 邓家先, 崔亚妮, 等. 基于暗通道先验的红外图像清晰化及FPGA实现[J]. 红外与激光工程, 2021, 50(3): 111-120. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202103014.htm

    LI Na, DENG Jiaxian, CUI Yani, et al. Infrared image clarity based on dark channel prior and FPGA implementation[J]. Infrared and Laser Engineering, 2021, 50(3): 111-120. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202103014.htm
    [17]
    HE K, SUN J, TANG X. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409. DOI: 10.1109/TPAMI.2012.213
    [18]
    张承泓, 李范鸣, 吴滢跃. 基于自适应引导滤波的子带分解多尺度Retinex红外图像增强[J]. 红外技术, 2019, 41(4): 31-36. http://hwjs.nvir.cn/article/id/hwjs201904005

    ZHANG Chenghong, LI Fanming, WU Yingyue. Multi-scale Retinex infrared image enhancement with subband decomposition based on adaptive guided filtering[J]. Infrared Technology, 2019, 41(4): 31-36. http://hwjs.nvir.cn/article/id/hwjs201904005
    [19]
    LIU X, ZHANG H, CHEUNG Y M, et al. Efficient single image dehazing and denosing[J]. Computer Vision and Image Understanding, 2017: 23-33. Doi: 10.1016/j.cviu.2017.08.002.
    [20]
    Ehsan S M, Imran M, Ullah A, et al. A single image dehazing technique using the dual transmission maps strategy and gradient-domain guided image filtering[J]. IEEE Access, 2021(99): 89055-89063. Doi: 10.1109/ACCESS.2021.3090078.
    [21]
    YAN S, ZHU J, YUN K, et al. An infrared image dehazing method based on modified dark channel prior[C]//International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI). SPIE, 2022, 12252: 132-138.
    [22]
    程铁栋, 卢晓亮, 易其文, 等. 一种结合单尺度Retinex与引导滤波的红外图像增强方法[J]. 红外技术, 2021, 43(11): 1081. http://hwjs.nvir.cn/article/id/b49a0a09-e295-40e6-9736-24a58971206e

    CHENG Tiedong, LU Xiaoliang, YI Qiwen, et al. An infrared image enhancement method combining single-scale Retinex and guided filtering[J]. Infrared Technology, 2021, 43(11): 1081-1088. http://hwjs.nvir.cn/article/id/b49a0a09-e295-40e6-9736-24a58971206e
    • Related Articles

  • Related Articles

    [1]SUN Aiping, HU Jianchuan, AN Changliang, LI Xunniu, WANG Chenyue, GONG Yangyun, SONG Yuyu. Optical System Design of Suspended Infrared Night Vision Based on Low Light Level Helmet Observation[J]. Infrared Technology , 2022, 44(12): 1278-1286.
    [2]SHI Yongbiao, ZHANG Yong. Survey on Development about Vehicular Infrared Night Vision Technology[J]. Infrared Technology , 2019, 41(6): 504-510.
    [3]ZHU Xiao-hong, LIN Su-zhen, WANG Dong-juan. Analysis of Multi-band Infrared Point Targets Night Vision Imaging Difference[J]. Infrared Technology , 2015, (4): 289-295.
    [4]SONG Min, ZHANG Rong-zhu, SUN Nian-chun. Design of a Night Vision System Based on Infrared and Low Light Level Imaging Sensor Technology[J]. Infrared Technology , 2014, (11): 885-889.
    [5]HU De-chao, ZHU You-pan, LUO Lin, LI Ze-min, FAN Hong-bo, SUN Ai-ping, SU Fan, HAN Juan. Research of Real-time Night-Vision Image Fusion System Based on Infrared Object Extraction[J]. Infrared Technology , 2014, (2): 125-130.
    [6]LUO Yuan, WANG Ling-xue, JIN Wei-qi, ZHAO Yuan-meng, ZHANG Chang-xin, LI Jia-kun. Developments of Image Processing Algorithms and Systems for LLL(Vis.)/IR Color Night Vision[J]. Infrared Technology , 2010, 32(6): 337-344. DOI: 10.3969/j.issn.1001-8891.2010.06.007
    [7]HUANG Dian-li, YAO Da-zhi, LIU Wei, SUN Yang-qing, HUA Yuan-yuan. Development of Intelligent Night Vision CCD Monitoring System[J]. Infrared Technology , 2009, 31(7): 390-394. DOI: 10.3969/j.issn.1001-8891.2009.07.005
    [8]CAI Ke-jun, FU Yue-gang, GU Ping-ping, ZHANG Bu-sheng, LIU Xiao-dong. Night Simulation System for Low-Level-Light Night Vision Systems Testing[J]. Infrared Technology , 2007, 29(2): 102-106. DOI: 10.3969/j.issn.1001-8891.2007.02.011
    [9]ZHENG Wei-jian, JIN Wei-qi, SU Jun-hong. The Developing Potential of Near-Infrared Imaging Night-vision Technologies[J]. Infrared Technology , 2005, 27(4): 269-273. DOI: 10.3969/j.issn.1001-8891.2005.04.001
    [10]Research of Night Vision Imaging System on Head-Binocular[J]. Infrared Technology , 2005, 27(1): 19-22. DOI: 10.3969/j.issn.1001-8891.2005.01.005

Catalog

    Get Citation
    PDF
    XML
    Article views PDF downloads Cited by()
    Related

    Copyright © 《Infrared Technology》Editorial Office滇ICP备12000354号-3

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return