Laser & Optoelectronics Progress, Volume. 57, Issue 24, 241504(2020)

Distortion Correction of Single Image Based on Deep Learning

Wenyi Chen1, Jie Xu1、*, Hui Yang1, Xiaobao Yang2, and Xiaoqiang Xi2
Author Affiliations
  • 1Institute of Internet of Things and Integration of IT Application and Industrialization, Xi'an University of Posts & Telecommunications, Xi'an, Shannxi 710061, China;
  • 2College of Communication and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an, Shannxi 710121, China;
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    Figures & Tables(11)
    Relationship between the actual and ideal image points
    Functional relationship between k1 and k2
    Part of the image in the synthetic dataset
    Structure of AlexNet
    Accuracy of the two algorithms on the test set
    Loss rate of the two algorithms on the test set
    Simulation image. (a) Standard image; (b) distorted image
    RMSE of corner coordinates obtained from 50 random experiments
    Experimental results of real checkerboard images. (a) Distorted image; (b) image corrected by Ref.[4]; (c) image corrected by our method
    RMSE of real chessboard image
    Correction effect of wide-angle lens. (a) Distorted image; (b) image corrected by our method
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    Wenyi Chen, Jie Xu, Hui Yang, Xiaobao Yang, Xiaoqiang Xi. Distortion Correction of Single Image Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241504

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    Paper Information

    Category: Machine Vision

    Received: Mar. 16, 2020

    Accepted: Jun. 11, 2020

    Published Online: Nov. 18, 2020

    The Author Email: Xu Jie (1141849828@qq.com)

    DOI:10.3788/LOP57.241504

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