论文标题
部分可观测时空混沌系统的无模型预测
Pose correction scheme for camera-scanning Fourier ptychography based on camera calibration and homography transform
论文作者
论文摘要
作为计算成像方法，傅立叶Ptychography（FP）是改善成像分辨率的强大工具。摄像机扫描傅里叶Ptychography将FP的应用从微型创造性地扩展到宏。由于机械翻译阶段驱动的相机的非理想扫描，相机的姿势误差发生，极大地降低了重建质量，而精确的翻译阶段很昂贵，不适合大型成像。在这里，为了提高摄像机扫描傅立叶Ptychography的成像性能，我们提出了一个基于摄像机校准和临时变换方法的姿势校正方案。该方案实现了频域中数据集和位置误差校正的准确对齐。仿真和实验结果表明，此方法可以优化重建结果，并有效地实现高质量的成像。结合特征识别算法，该方案提供了将FP应用于遥感成像和空间成像中的可能性。
Fourier ptychography (FP), as a computational imaging method, is a powerful tool to improve imaging resolution. Camera-scanning Fourier ptychography extends the application of FP from micro to macro creatively. Due to the non-ideal scanning of the camera driven by the mechanical translation stage, the pose error of the camera occurs, greatly degrading the reconstruction quality, while a precise translation stage is expensive and not suitable for wide-range imaging. Here, to improve the imaging performance of camera-scanning Fourier ptychography, we propose a pose correction scheme based on camera calibration and homography transform approaches. The scheme realizes the accurate alignment of data set and location error correction in the frequency domain. Simulation and experimental results demonstrate this method can optimize the reconstruction results and realize high-quality imaging effectively. Combined with the feature recognition algorithm, the scheme provides the possibility for applying FP in remote sensing imaging and space imaging.
