Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111009(2018)

Foggy Image Sharpening Algorithm Based on Multi-Scale Geometric Analysis

Rui Guo, Jianwu Dang, Yu Shen*, and Cheng Liu
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    Figures & Tables(12)
    Algorithm flow chart
    Non-subsampling filter model
    Diagram of nonsubsampled pyramid decomposition and reconstruction
    Structure diagram of dual-channel nonsubsampled fan filter banks
    Diagram of the Sigmoid function
    Sigmoid curves with different values of a
    Histogram after logarithmic function processing
    Histogram processed by Sigmoid function
    Effect of the bilateral filter near the edge of the image. (a) Image area containing noise; (b) effect of value-domain filtering; (c) effect of bilateral filtering; (d) spatial domain filter function; (e) combination function of spatial domain filtering and value domain filtering
    Comparison of two algorithms. (a) Original image; (b) traditional bilateral filter result; (c) improved algorithm result; (d) comparison of data
    Comparison of experiment results. (a) Orginal images; (b) multiscale Retinex method; (c) Kawasaki's method[10]; (d) Wang's method[12]; (e) method in this paper
    Objective evaluation data. (a) Standard deviation; (b) information entropy; (c) PSNR; (d) run time
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    Rui Guo, Jianwu Dang, Yu Shen, Cheng Liu. Foggy Image Sharpening Algorithm Based on Multi-Scale Geometric Analysis[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111009

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    Paper Information

    Category: Image Processing

    Received: Apr. 26, 2018

    Accepted: Jun. 6, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Yu Shen (912064869@qq.com)

    DOI:10.3788/LOP55.111009

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