• Laser & Optoelectronics Progress
  • Vol. 56, Issue 15, 151007 (2019)
Yuanmiao Li*, Huayan Sun, and Huichao Guo
Author Affiliations
  • Department of Electronic and Optical Engineering, Space Engineering University, Beijing 101416, China
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    DOI: 10.3788/LOP56.151007 Cite this Article Set citation alerts
    Yuanmiao Li, Huayan Sun, Huichao Guo. Image Preprocessing Method Based on Bilateral Filtering Combined with Guided Filtering to Enhance Laser Three-Dimensional Images[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151007 Copy Citation Text show less
    Spatial correlation function of triangular range-intensity for three-dimensional reconstruction
    Fig. 1. Spatial correlation function of triangular range-intensity for three-dimensional reconstruction
    Original two-dimensional gate images and gray distribution curves. (a)(b) Two-dimensional gate images; (c) gray distribution curves
    Fig. 2. Original two-dimensional gate images and gray distribution curves. (a)(b) Two-dimensional gate images; (c) gray distribution curves
    Comparison of gray value distribution curves of two two-dimensional gate images before and after bilateral filtering
    Fig. 3. Comparison of gray value distribution curves of two two-dimensional gate images before and after bilateral filtering
    Results of guided filtering of image including four-layer detail information. (a)(b) Results after guided filtering; (c)(d) images of four detail layers
    Fig. 4. Results of guided filtering of image including four-layer detail information. (a)(b) Results after guided filtering; (c)(d) images of four detail layers
    Effect of pre-processing on original image. (a) Comparison of gray value distribution curves before and after guided filtering; (b)(c) comparison of SSIM values of time-slicing images
    Fig. 5. Effect of pre-processing on original image. (a) Comparison of gray value distribution curves before and after guided filtering; (b)(c) comparison of SSIM values of time-slicing images
    Three-dimensional reconstruction images. (a) Reconstruction of original image; (b) reconstruction of images after bilateral filtering; (c) reconstruction of images after guided filtering with four detail layers combined with bilateral filtering; (d) reconstruction of images after guided filtering with two detail layers; (e) reconstruction of images after guided filtering with three detail layers; (f) reconstruction of images after guided filtering with four detail layers
    Fig. 6. Three-dimensional reconstruction images. (a) Reconstruction of original image; (b) reconstruction of images after bilateral filtering; (c) reconstruction of images after guided filtering with four detail layers combined with bilateral filtering; (d) reconstruction of images after guided filtering with two detail layers; (e) reconstruction of images after guided filtering with three detail layers; (f) reconstruction of images after guided filtering with four detail layers
    Sampling of pixel information in three-dimensional reconstruction. (a) 260 columns; (b) 300 rows
    Fig. 7. Sampling of pixel information in three-dimensional reconstruction. (a) 260 columns; (b) 300 rows
    Local structure extraction from Figs. 6(a) and 6(c). (a)(b) Edge area in 70 pixel×70 pixel; (c)(d) internal structure area in 120 pixel×120 pixel
    Fig. 8. Local structure extraction from Figs. 6(a) and 6(c). (a)(b) Edge area in 70 pixel×70 pixel; (c)(d) internal structure area in 120 pixel×120 pixel
    Detail layer02345
    Quality score (0-100, 0 represents the bestquality, and 100 represents the worst)69.821449.977541.641740.517842.7348
    Table 1. Image quality evaluation based on BRISQUE model
    Yuanmiao Li, Huayan Sun, Huichao Guo. Image Preprocessing Method Based on Bilateral Filtering Combined with Guided Filtering to Enhance Laser Three-Dimensional Images[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151007
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