激光与光电子学进展, 2020, 57 (18): 181027, 网络出版: 2020-09-02   

边缘复杂光场图像的深度估计散焦响应函数优化 下载: 996次

Defocusing Response Function Optimization in Depth Estimation of Boundary Complex Light Field Image
作者单位
太原科技大学电子信息工程学院, 山西 太原 030024
摘要
散焦结合相关性评价算法是利用四维光场的空间信息和角度信息来完成深度估计,该算法建立的散焦响应函数存在求取二阶导方向有限且二阶导求和能量正负相互抵消的问题,这限制了其在复杂场景中的深度重建精度。针对该问题,对散焦响应函数进行了改进,提出基于能量增强散焦响应的光场深度估计算法。该算法充分考虑了周边像素点对当前位置散焦度的影响,通过增加具有权重差异的二阶导个数和方向来实现散焦响应的能量增强。通过实验验证了所提方法的有效性。针对一些边缘复杂的光场图像,所提算法获取的深度图视觉效果更好;与散焦评价结合相关性评价算法相比,改进算法获得深度图像的均方根误差平均减小3.95%。
Abstract
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.

武迎春, 程星, 谢颖贤, 王安红. 边缘复杂光场图像的深度估计散焦响应函数优化[J]. 激光与光电子学进展, 2020, 57(18): 181027. 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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