• Laser & Optoelectronics Progress
  • Vol. 57, Issue 18, 181027 (2020)
Yingchun Wu, Xing Cheng*, Yingxian Xie, and Anhong Wang
Author Affiliations
  • School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China
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    DOI: 10.3788/LOP57.181027 Cite this Article Set citation alerts
    Yingchun Wu, Xing Cheng, Yingxian Xie, Anhong Wang. Defocusing Response Function Optimization in Depth Estimation of Boundary Complex Light Field Image[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181027 Copy Citation Text show less
    Flowchart of depth estimation algorithm based on defocus and correspondence
    Fig. 1. Flowchart of depth estimation algorithm based on defocus and correspondence
    Comparison of second-order derivative operators. (a) Traditional Laplace operator; (b) proposed second-order derivative operator for energy enhancement
    Fig. 2. Comparison of second-order derivative operators. (a) Traditional Laplace operator; (b) proposed second-order derivative operator for energy enhancement
    Comparison of depth evaluation results obtained based on "shoe" image. (a) Light field raw image; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    Fig. 3. Comparison of depth evaluation results obtained based on "shoe" image. (a) Light field raw image; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    Comparison of defocus response curves. (a) Defocus response curves obtained based on Laplace operator; (b) defocus response curves obtained based on proposed energy enhanced second-order derivative operator
    Fig. 4. Comparison of defocus response curves. (a) Defocus response curves obtained based on Laplace operator; (b) defocus response curves obtained based on proposed energy enhanced second-order derivative operator
    Comparison of depth evaluation results for "stapler" image. (a) Light field raw image without redundancy; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    Fig. 5. Comparison of depth evaluation results for "stapler" image. (a) Light field raw image without redundancy; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    Two sample images in benchmark dataset. (a) "boxes" scene; (b) "dino" scene
    Fig. 6. Two sample images in benchmark dataset. (a) "boxes" scene; (b) "dino" scene
    Comparison of depth evaluation results for "boxes" scene. (a) Ground truth; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    Fig. 7. Comparison of depth evaluation results for "boxes" scene. (a) Ground truth; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    Comparison of depth evaluation results for "dino" scene. (a) Ground truth; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    Fig. 8. Comparison of depth evaluation results for "dino" scene. (a) Ground truth; (b) depth map calculated by DCDC algorithm; (c) depth map calculated by proposed method
    ScenePSNRRMSEBP
    DCDCOursDCDCOursDCDCOurs
    "boxes"13.443413.84570.21190.20230.13150.1285
    "dino"15.052615.37350.17560.16970.14010.1398
    Table 1. Quantitative evaluation of accuracy of depth maps
    Yingchun Wu, Xing Cheng, Yingxian Xie, Anhong Wang. Defocusing Response Function Optimization in Depth Estimation of Boundary Complex Light Field Image[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181027
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