Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181027(2020)

Defocusing Response Function Optimization in Depth Estimation of Boundary Complex Light Field Image

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
  • show less

    The defocus and correspondence (DCDC) algorithm uses the spatial information and angular information of four-dimensional light field to complete depth estimation. The defocus response function established by the DCDC algorithm has the problems of limited second-order derivative direction and positive and negative energy offset, which limit its depth reconstruction accuracy in complex scenes. Aiming at the problems, the defocusing response function is improved, and a light field depth estimation algorithm based on energy enhanced defocusing response is proposed. The algorithm fully considers the influences of the surrounding pixels on the defocusing degree of the current position, and realizes the energy enhancement of the defocusing response by increasing the number and direction of second-order derivatives with different weights. Experiments verify the effectiveness of the proposed method. For some light field images with complex boundaries, the depth map obtained by the proposed algorithm has better visual effects. Compared with the DCDC algorithm, the root mean square error of the depth image obtained by the proposed method decreases by 3.95% on average.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Feb. 24, 2020

    Accepted: Mar. 30, 2020

    Published Online: Sep. 2, 2020

    The Author Email: Cheng Xing (1205406867@qq.com)

    DOI:10.3788/LOP57.181027

    Topics