• Laser & Optoelectronics Progress
  • Vol. 57, Issue 16, 161020 (2020)
Yilin Yang*, Jiying Li, Yan Wang, and Yongqian Yu
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/LOP57.161020 Cite this Article Set citation alerts
    Yilin Yang, Jiying Li, Yan Wang, Yongqian Yu. Research on Depth Image Repair Algorithm Based on Improved Bilateral Filter[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161020 Copy Citation Text show less
    Flow chart of proposed algorithm
    Fig. 1. Flow chart of proposed algorithm
    Registration results of RGB images and depth images. (a) RGB images; (b) depth images
    Fig. 2. Registration results of RGB images and depth images. (a) RGB images; (b) depth images
    Experimental verification results. (a) Original RGB image; (b) original depth image; (c) verification results of proposed algorithm
    Fig. 3. Experimental verification results. (a) Original RGB image; (b) original depth image; (c) verification results of proposed algorithm
    Repair results of artificially added holes. (a) Original RGB images; (b) original depth images; (c) repair results of GF algorithm; (d) repair results of JBF algorithm; (e) repair results of proposed algorithm
    Fig. 4. Repair results of artificially added holes. (a) Original RGB images; (b) original depth images; (c) repair results of GF algorithm; (d) repair results of JBF algorithm; (e) repair results of proposed algorithm
    Repair results of natural holes. (a) Original RGB images; (b) original depth images; (c) repair results of GF algorithm and its local details; (d) repair results of JBF algorithm and its local details; (e) repair results of proposed algorithm and its local details
    Fig. 5. Repair results of natural holes. (a) Original RGB images; (b) original depth images; (c) repair results of GF algorithm and its local details; (d) repair results of JBF algorithm and its local details; (e) repair results of proposed algorithm and its local details
    MethodDollsMoebiusLaundry
    GF algorithm3.60143.89744.9055
    JBF algorithm3.47042.71463.5219
    Proposed algorithm3.41292.54772.8112
    R1 /%5.2334.6342.69
    R2 /%1.666.1520.18
    Table 1. RMSE of each depth image repair algorithm based on Middlebury standard library
    MethodDollsMoebiusLaundry
    GF algorithm37.001336.315434.3172
    JBF algorithm37.323139.456737.1952
    Proposed algorithm37.468440.007939.1531
    P1 /%1.26210.16814.092
    P2 /%0.3891.3975.264
    Table 2. PSNR of each depth image repair algorithm based on Middlebury standard library
    Yilin Yang, Jiying Li, Yan Wang, Yongqian Yu. Research on Depth Image Repair Algorithm Based on Improved Bilateral Filter[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161020
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