Accelerated Wirtinger Flow: A fast algorithm for ptychography
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Abstract (arXiv)
This paper presents a new algorithm, Accelerated Wirtinger Flow (AWF), for ptychographic image reconstruction from phaseless diffraction pattern measurements. AWF is based on combining Nesterov's acceleration approach with Wirtinger gradient descent. Theoretical results enable prespecification of all AWF algorithm parameters, with no need for computationally-expensive line searches and no need for manual parameter tuning. AWF is evaluated in the context of simulated X-ray ptychography, where we demonstrate fast convergence and low per-iteration computational complexity. We also show examples where AWF reaches higher image quality with less computation than classical algorithms. AWF is also shown to have robustness to noise and probe misalignment.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jun 2018.
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Citing papers per year: 2023: 3; 2024: 0; 2025: 2.
5 papers.
- 2023PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstructioncited by 9
- 2025Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidancecited by 3
- 2023Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Priorcited by 1
- 2023Acceleration and Implicit Regularization in Gaussian Phase Retrievalcited by 1
- 2025Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imagingcited by 0
- 2025Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging7 Dec 2025
- 2025Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance26 Feb 2025
- 2023Acceleration and Implicit Regularization in Gaussian Phase Retrieval21 Nov 2023
- 2023PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction11 Oct 2023
- 2023Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior12 May 2023