Results 121 to 130 of about 7,807,536 (173)

Dual-energy phase retrieval algorithm for inline phase sensitive x-ray imaging system.

Opt Express, 2021
Ghani MU, Yan A, Fajardo LL, Wu X, Liu H.   +4 more
europepmc   +1 more source

On the Phase Retrievability of Phase-Retrieval Coherent Receivers

Journal of Lightwave Technology
Yuki Yoshida, Kouichi Akahane
openaire   +1 more source

Protocol using similarity score and improved shrink-wrap algorithm for better convergence of phase-retrieval calculation in X-ray diffraction imaging. [PDF]

J Synchrotron Radiat
Yoshida S, Harada K, Uezu S, Takayama Y, Nakasako M.   +4 more
europepmc   +1 more source

Rapid laser solver for the phase retrieval problem. [PDF]

Sci Adv, 2019
Tradonsky C, Gershenzon I, Pal V, Chriki R, Friesem AA, Raz O, Davidson N.   +6 more
europepmc   +1 more source

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Stable phase retrieval in function spaces

Mathematische Annalen, 2022
Let (Ω,Σ,μ)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(\Omega ...
Mathematische Annalen, D. Freeman, ·. T. Oikhberg, ·. B. Pineau, M. A. Taylor   +4 more
semanticscholar   +1 more source

Physics-based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging

Computer Vision and Pattern Recognition, 2021
Phase retrieval from intensity-only measurements plays a central role in many real-world imaging tasks. In recent years, deep neural networks based methods emerge and show promising performance for phase retrieval.
Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji   +5 more
semanticscholar   +1 more source

Deep phase retrieval: Analyzing over-parameterization in phase retrieval

Signal Processing, 2021
Abstract Phase retrieval aims to recover the phase of a complex-valued signal from magnitude measurements. Recently, approaches based on non-convex optimization which solve the phase retrieval problem directly using gradient descent methods have become more and more popular.
Qi Yu, Jun-Jie Huang, Jubo Zhu, Wei Dai, Pier Luigi Dragotti   +4 more
openaire   +1 more source

Learned hardware-in-the-loop phase retrieval for holographic near-eye displays

ACM Transactions on Graphics, 2020
Holography is arguably the most promising technology to provide wide field-of-view compact eyeglasses-style near-eye displays for augmented and virtual reality.
Praneeth Chakravarthula, Ethan Tseng, Tarun Srivastava, H. Fuchs, Felix Heide   +4 more
semanticscholar   +1 more source

Internal–External Layered Phase Shifting for Phase Retrieval

IEEE Transactions on Instrumentation and Measurement
A new type of fringe projection profilometry (FPP) system can be constructed by using an MEMS microvibration mirror. However, the MEMS scanning speed generally surpasses the capture speed of an ordinary camera, making it challenging to take advantage of ...
Min Han, W. Shi, S. Lu, Fengxiao Lei, Yiming Li, Xiaohao Wang, Xinghui Li   +6 more
semanticscholar   +1 more source

Phase Retrieval in Imaging

Topical Meeting On Signal Recovery and Synthesis II, 1986
In this review an overview will be given of the state-of-the-art in phase retrieval (PR). PR occurs in many different areas of signal processing: - in imaging, where the image only yields the modulus of the wavefunction in the image plane, while for the reconstruction of the object we also need its phase - in speckle interferometry where we obtain the ...
openaire   +3 more sources