Pose correction scheme for camera-scanning Fourier ptychography based on camera calibration and homography transform

TL;DR

This paper introduces a pose correction scheme for camera-scanning Fourier ptychography that uses camera calibration and homography transforms to improve image reconstruction quality, enabling wider application in remote sensing.

Contribution

The proposed method corrects pose errors in camera-scanning Fourier ptychography using calibration and homography, enhancing reconstruction accuracy without expensive equipment.

Findings

Simulation results show improved image quality.

Experimental validation confirms effectiveness of pose correction.

Method enables high-quality macro imaging with simple setup.

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.