用目标运动代替复杂设备，实现低成本高分辨率成像。
Inverse Synthetic Aperture Fourier Ptychography
- 通过目标运动生成测量多样性，无需调整光照或相机位置。
- 提出新方法从双平面强度数据估计k空间坐标，无需知道目标旋转角度。
- 在仿真和桌面光学系统上验证，适用于低资源成像场景。
傅里叶叠层成像（FP）是一种基于光的合成孔径成像技术，可通过计算整合一系列低分辨率远场测量，重建高分辨率、大视场图像。传统FP依赖改变照明角度或相机位置来引入测量多样性，从而采样目标的空间频率内容，但这些方法显著增加采集成本与复杂性。本文提出逆向合成孔径傅里叶叠层成像，摒弃了照明角度或相机位置的改变，转而通过目标运动生成测量多样性。关键创新在于提出一种基于学习的新方法，仅需双平面强度测量即可估计k空间坐标，从而在不需知晓目标旋转信息的情况下实现合成孔径成像。我们在仿真和桌面光学系统上实验验证了该方法的有效性。
原文摘要 · Abstract (English)
Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allows one to reconstruct a high-resolution, wide field-of-view image by computationally integrating a diverse collection of low-resolution, far-field measurements. Typically, FP measurement diversity is introduced by changing the angle of the illumination or the position of the camera; either approach results in sampling different portions of the target's spatial frequency content, but both approaches introduce substantial costs and complexity to the acquisition process. In this work, we introduce Inverse Synthetic Aperture Fourier Ptychography, a novel approach to FP that foregoes changing the illumination angle or camera position and instead generates measurement diversity through target motion. Critically, we also introduce a novel learning-based method for estimating k-space coordinates from dual plane intensity measurements, thereby enabling synthetic aperture imaging without knowing the rotation of the target. We experimentally validate our method in simulation and on a tabletop optical system.
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