Affiliation:
1. Beijing Institute of Technology
2. Yangtze Delta Region Academy of Beijing Institute of Technology
3. Beijing Institute of Space Mechanics & Electricity
Abstract
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.
Funder
National Key Research and Development Program of China
111 Project
Funding of Foundation Enhancement Program
Subject
Atomic and Molecular Physics, and Optics
Cited by
4 articles.
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