• Laser & Optoelectronics Progress
  • Vol. 55, Issue 11, 111009 (2018)
Rui Guo, Jianwu Dang, Yu Shen*, and Cheng Liu
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
  • show less
    DOI: 10.3788/LOP55.111009 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Algorithm flow chart
    Fig. 1. Algorithm flow chart
    Non-subsampling filter model
    Fig. 2. Non-subsampling filter model
    Diagram of nonsubsampled pyramid decomposition and reconstruction
    Fig. 3. Diagram of nonsubsampled pyramid decomposition and reconstruction
    Structure diagram of dual-channel nonsubsampled fan filter banks
    Fig. 4. Structure diagram of dual-channel nonsubsampled fan filter banks
    Diagram of the Sigmoid function
    Fig. 5. Diagram of the Sigmoid function
    Sigmoid curves with different values of a
    Fig. 6. Sigmoid curves with different values of a
    Histogram after logarithmic function processing
    Fig. 7. Histogram after logarithmic function processing
    Histogram processed by Sigmoid function
    Fig. 8. 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
    Fig. 9. 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
    Fig. 10. 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
    Fig. 11. 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
    Fig. 12. Objective evaluation data. (a) Standard deviation; (b) information entropy; (c) PSNR; (d) run time
    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
    Download Citation