Content adaptive sparse illumination for Fourier ptychography

Abstract

Fourier Ptychography (FP) is a recently proposed technique for large field of view and high resolution imaging. Specifically, FP captures a set of low resolution images under angularly varying illuminations and stitches them together in Fourier domain. One of FP's main disadvantages is its long capturing process due to the requisite large number of incident illumination angles. In this letter, utilizing the sparsity of natural images in Fourier domain, we propose a highly efficient method termed as AFP, which applies content adaptive sparse illumination for Fourier ptychography by capturing the most informative parts of the scene's spatial spectrum. We validate the effectiveness and efficiency of the reported framework with both simulations and real experiments. Results show that the proposed AFP could shorten the acquisition time of conventional FP by around 30%-60%.

References in corpus (3)

• Wide-field, high-resolution Fourier ptychographic microscopy
• Quantitative phase imaging via Fourier ptychographic microscopy
• Spectrum multiplexing and coherent-state decomposition in Fourier ptychographic imaging

Cited by in corpus (10)

• Fourier ptychographic reconstruction using Wirtinger flow optimization
• System calibration method for Fourier ptychographic microscopy
• Efficient single pixel imaging in Fourier space
• Motion-corrected Fourier ptychography
• Snapshot Ptychography on Array cameras
• Spatially-coded Fourier ptychography: flexible and detachable coded thin films for quantitative phase imaging with uniform phase transfer characteristics
• Analysis of Fourier ptychographic microscopy with half of the captured images
• Parallelized aperture synthesis using multi-aperture Fourier ptychographic microscopy
• Optimizing illumination for precise multi-parameter estimations in coherent diffractive imaging
• Data-Driven Design for Fourier Ptychographic Microscopy