Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181027(2020)
Defocusing Response Function Optimization in Depth Estimation of Boundary Complex Light Field Image
Fig. 1. Flowchart of depth estimation algorithm based on defocus and correspondence
Fig. 2. Comparison of second-order derivative operators. (a) Traditional Laplace operator; (b) proposed second-order derivative operator for energy enhancement
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
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
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
Fig. 6. Two sample images in benchmark dataset. (a) "boxes" scene; (b) "dino" scene
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
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
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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
Category: Image Processing
Received: Feb. 24, 2020
Accepted: Mar. 30, 2020
Published Online: Sep. 2, 2020
The Author Email: Cheng Xing (1205406867@qq.com)