Fourier ptychographic reconstruction using Wirtinger flow optimization
arXiv:1411.6431 · doi:10.1364/OE.23.004856
Abstract
Recently Fourier Ptychography (FP) has attracted great attention, due to its marked effectiveness in leveraging snapshot numbers for spatial resolution in large field-of-view imaging. To acquire high signal-to-noise-ratio (SNR) images under angularly varying illuminations for subsequent reconstruction, FP requires long exposure time, which largely limits its practical applications. In this paper, based on the recently reported Wirtinger flow algorithm, we propose an iterative optimization framework incorporating phase retrieval and noise relaxation together, to realize FP reconstruction using low SNR images captured under short exposure time. Experiments on both synthetic and real captured data validate the effectiveness of the proposed reconstruction method. Specifically, the proposed technique could save around 80% exposure time to achieve similar retrieval accuracy compared to the conventional FP. Besides, we have released our source code for non-commercial use.
References in corpus (4)
Cited by in corpus (12)
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- System calibration method for Fourier ptychographic microscopy
- Large-scale phase retrieval
- Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient
- Using Automatic Differentiation as a General Framework for Ptychographic Reconstruction
- Data preprocessing methods for robust Fourier ptychographic microscopy
- Phase Retrieval Via Reweighted Wirtinger Flow
- Motion-corrected Fourier ptychography
- A semi-implicit relaxed Douglas-Rachford algorithm (sir-DR) for Ptychograhpy
- Analysis of Fourier ptychographic microscopy with half of the captured images
- Bypassing the resolution limit of diffractive zone plate optics via rotational Fourier ptychography
- Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork