Researching

Journals
  • Advanced Photonics
  • Photonics Insights
  • Advanced Photonics Nexus
  • Photonics Research
  • Advanced Imaging
  • View All Journals
  • Chinese Optics Letters
  • High Power Laser Science and Engineering
    • Articles
  • Optics
  • Physics
  • Geography
  • View All Subjects
    • Conferences
  • CIOP
  • HPLSE
  • AP
  • View All Events
    • News
    About CLP
    Search by keywords or author
    Journals >Opto-Electronic Engineering >Volume 51 >Issue 1 >Page 230290-1 > Article
    • Opto-Electronic Engineering
    • Vol. 51, Issue 1, 230290-1 (2024)
    Image super-resolution reconstruction based on active displacement imaging
    Wenxue Zhang1,2,3,4, Yihan Luo1,2,3,4,*, Yaqing Liu1,2,3, Shiye Xia1,2,3, and Kaiyuan Zhao1,2,3,4
    Author Affiliations
  • 1National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Key Laboratory of Beam Control, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 4University of Chinese Academy of Sciences, Beijing 100049, China
    • show less
    DOI: 10.12086/oee.2024.230290 Cite this Article
    Wenxue Zhang, Yihan Luo, Yaqing Liu, Shiye Xia, Kaiyuan Zhao. Image super-resolution reconstruction based on active displacement imaging[J]. Opto-Electronic Engineering, 2024, 51(1): 230290-1 Copy Citation Text show less
    References

    [1] C Dong, C C Loy, K M He et al. Learning a deep convolutional network for image super-resolution, 184-199(2014). https://doi.org/10.1007/978-3-319-10593-2_13

    [2] C Dong, C C Loy, X O Tang. Accelerating the super-resolution convolutional neural network, 391-407(2016). https://doi.org/10.1007/978-3-319-46475-6_25

    [3] W S Lai, J B Huang, N Ahuja et al. Fast and accurate image super-resolution with deep laplacian pyramid networks. IEEE Trans Pattern Anal Mach Intell, 41, 2599-2613(2019).

    [4] H Basak, R Kundu, A Agarwal et al. Single image super-resolution using residual channel attention network, 219-224(2020). https://doi.org/10.1109/ICIIS51140.2020.9342688

    [5] J Kim, J K Lee, K M Lee. Accurate image super-resolution using very deep convolutional networks, 1646-1654(2016). https://doi.org/10.1109/CVPR.2016.182

    [6] C W Tian, Y Xu, W M Zuo et al. Asymmetric CNN for image superresolution. IEEE Trans Syst, Man, Cybern:Syst, 52, 3718-3730(2022).

    [7] Y Tai, J Yang, X M Liu. Image super-resolution via deep recursive residual network, 2790-2798(2017). https://doi.org/10.1109/CVPR.2017.298

    [8] C Ledig, L Theis, F Huszár et al. Photo-realistic single image super-resolution using a generative adversarial network, 105-114(2017). https://doi.org/10.1109/CVPR.2017.19

    [9] M A Talab, S Awang, S A D M Najim. Super-low resolution face recognition using integrated efficient sub-pixel convolutional neural network (ESPCN) and convolutional neural network (CNN), 331-335(2019). https://doi.org/10.1109/I2CACIS.2019.8825083

    [10] R Y Tsai, T S Huang. Multiframe image restoration and registration. Adv Comput Vis Image Process, 1, 317-339(1984).

    [11] M Irani, S Peleg. Motion analysis for image enhancement: resolution, occlusion, and transparency. J Vis Commun Image Represent, 4, 324-335(1993).

    [12] R R Schultz, R L Stevenson. Extraction of high-resolution frames from video sequences. IEEE Trans Image Process, 5, 996-1011(1996).

    [13] A J Patti, Y Altunbasak. Artifact reduction for set theoretic super resolution image reconstruction with edge adaptive constraints and higher-order interpolants. IEEE Trans Image Process, 10, 179-186(2001).

    [14] Y P Du, Y Y Liu. Research on micro-scanning super-resolution image reconstruction algorithm based on POCS. Electro-Opt Technol Appl, 34, 25-28,44(2019).

    [15] D Yao, H G Liang, J Campos et al. Calculation and restoration of lost spatial information in division-of-focal-plane polarization remote sensing using polarization super-resolution technology. Int J Appl Earth Obs Geoinf, 116, 103155(2023).

    [16] H G Zhao, H S Qu, X Wang et al. Super-resolution reconstruction of micro-scanning images. Opt Precis Eng, 29, 2456-2464(2021).

    [17] K K Yu, K Hao, Y Y Liu et al. Simulation analysis and experimental study of infrared micro-scanning super-resolution. Electro-Opt Technol Appl, 38, 46-51(2023).

    [18] Y Zhang, J Y Sun, R D Qiu et al. Spatial scale effect of a typical polarized remote sensor on detecting ground objects. Sensors, 21, 4418(2021).

    [19] X F Zhang, W Huang, M F Xu et al. Super-resolution imaging for infrared micro-scanning optical system. Opt Express, 27, 7719-7737(2019).

    [20] X Bai, L J Bu, G C Zhao et al. POCS image super-resolution reconstruction method based on multi-feature. Sci Surv Mapp, 47, 174-183(2022).

    [21] W Q Jin, Y N Chen, X Wang et al. Scanning type sub-pixel thermal imaging algorithm taking account of detector filling rate and micro-scanning contraposition bias. J Infrared Millim Waves, 27, 308-312(2008).

    [22] J G Sanders, W H Wan, V Harris et al. Compact airborne staring FPA sensor with microscanning. Proc SPIE, 2743, 158-168(1996).

    [23] J Zou, X J Geng, K L Liao et al. Application of super-resolution technique based on sub-pixel scanning in high-resolution X-ray microscopy. Acta Photonica Sin, 46, 1211001(2017).

    [24] M J Sun, M P Edgar, D B Phillips et al. Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning. Opt Express, 24, 10476-10485(2016).

    [25] C Gui, D T Wang, X W Huang et al. Super-resolution and wide-field-of-view imaging based on large-angle deflection with risley prisms. Sensors, 23, 1793(2023).

    [26] H Cui, J Cao, Q Hao et al. Improving the quality of panoramic ghost imaging via rotation and scaling invariances. Opt Laser Technol, 160, 109102(2023).

    [27] J Chen, Y Li, L H Cao. Research on region selection super resolution restoration algorithm based on infrared micro-scanning optical imaging model. Sci Rep, 11, 2852(2021).

    [28] K Y Liang, B W Wang, C Zuo. Super-resolution-imaging based on circular coded aperture. Proc SPIE, 12523, 95-99(2023).

    [29] S Ameer, O Basir. Objective image quality measure based on Weber-weighted mean absolute error, 728-732(2008). https://doi.org/10.1109/ICOSP.2008.4697233

    [30] D Q Cheng, L L Chen, C Lv et al. Light-guided and cross-fusion U-Net for anti-illumination image super-resolution. IEEE Trans Circuits Syst Video Technol, 32, 8436-8449(2022).

    [31] L L Chen, L Guo, D Q Cheng et al. Structure-preserving and color-restoring up-sampling for single low-light image. IEEE Trans Circuits Syst Video Technol, 32, 1889-1902(2022).

    Abstract
    Get PDF(in Chinese)
    Figures&Tables (26)
    Equations (0)
    References (31)
    Get Citation
    Copy Citation Text
    Wenxue Zhang, Yihan Luo, Yaqing Liu, Shiye Xia, Kaiyuan Zhao. Image super-resolution reconstruction based on active displacement imaging[J]. Opto-Electronic Engineering, 2024, 51(1): 230290-1
    Download Citation
    Tools
    Share
    Save the article for my favorites
    Paper Information
    Recommended Topics
    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology