光学学报, 2018, 38 (6): 0611002, 网络出版: 2018-07-09
基于前景移除的合成孔径成像算法 下载: 734次
Synthetic Aperture Imaging Algorithm Via Foreground Removing
成像系统 计算成像 合成孔径成像 前景标记 遮挡去除 视差 imaging systems computational imaging synthetic aperture imaging the foreground labeling occlusion removing disparity
摘要
在传统合成孔径物面重聚焦成像过程中,前景射线会严重影响目标的重建质量,针对这一问题提出一种基于前景标记的重聚焦成像算法。首先根据EPI的边缘特征估计场景深度范围,根据指定待重建物面的参数提取前景边缘特征并进行扩散,从而确定前景遮挡对应的射线;对其进行标记筛除后,利用光场重建算法对特定物面进行重建,从而实现被遮挡目标的高质量重建。利用Stanford大学和Disney实验室提供的数据集进行仿真,实验结果表明该算法可有效去除场景中的遮挡物信息,提高重聚焦图像的质量。
Abstract
The foreground ray has a serious impact on the quality of reconstruction during the traditional synthetic aperture imaging is refocused on the surface of object. For the above problem, we propose a refocusing imaging algorithm via foreground labeling in this paper. The algorithm first estimates the depth range of the scene based on the edge features of the EPI, extraction of foreground edge features and propagation according to the parameters of the specified surface to be rebuilt, thus determining the foreground occlusion corresponding rays. After labeling and removing those corresponding rays, reconstructing a specific surface with light field reconstruction algorithm to achieve the high quality reconstruction of the occluded object.The paper uses datasets provided by Stanford University and Disney laboratory to simulate, the experimental results show that the proposed algorithm can effectively remove the information of the occlusion in the scene and improve the quality of the refocused image.
刘严羊硕, 刘宾, 潘晋孝. 基于前景移除的合成孔径成像算法[J]. 光学学报, 2018, 38(6): 0611002. Yanyangshuo Liu, Bin Liu, Jinxiao Pan. Synthetic Aperture Imaging Algorithm Via Foreground Removing[J]. Acta Optica Sinica, 2018, 38(6): 0611002.