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基于前景移除的合成孔径成像算法

Synthetic Aperture Imaging Algorithm Via Foreground Removing

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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.

Newport宣传-MKS新实验室计划
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中图分类号:O438

DOI:10.3788/aos201838.0611002

所属栏目:成像系统

基金项目:电子测试技术国防科技重点实验室基金(614200010401)

收稿日期:2018-01-16

修改稿日期:2018-01-30

网络出版日期:--

作者单位    点击查看

刘严羊硕:中北大学理学院, 山西 太原 030051中北大学信息探测与处理山西省重点实验室, 山西 太原030051电子测试技术国防科技重点实验室, 山西 太原 030051
刘宾:中北大学信息探测与处理山西省重点实验室, 山西 太原030051电子测试技术国防科技重点实验室, 山西 太原 030051
潘晋孝:中北大学信息探测与处理山西省重点实验室, 山西 太原030051电子测试技术国防科技重点实验室, 山西 太原 030051

联系人作者:刘宾(liubin414605032@163.com)

备注:刘严羊硕(1991-),男,硕士研究生,主要从事光信息探测与图像处理方面的研究。E-mail: 542918861@qq.com

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引用该论文

Liu Yanyangshuo,Liu Bin,Pan Jinxiao. Synthetic Aperture Imaging Algorithm Via Foreground Removing[J]. Acta Optica Sinica, 2018, 38(6): 0611002

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

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