Utility functions for image-based phase retrieval
-
Updated
Apr 17, 2024 - Python
Utility functions for image-based phase retrieval
Supplementary material (Python, Jupyter notebooks and MATLAB scripts) to arXiv preprint 1903.11815
Library of phase imaging functions, classes, and methods.
Phase retrieval is an applied problem in the field of frame theory that describes recovering the phase of a signal given linear intensity measurements. We give examples of the codes for algorithmic phase retrieval, specifically the Gerchberg-Saxton and PhaseLift methods.
Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)
Code implementation of Photonics Research paper on Local Stokes parameters of a higly focused light beam
Plugin-based Gerchberg-Saxton Phase Retrieval Software for OSX and Linux Platforms
Code to achieve the geometry-aware phase retrieval described in the paper "General approaches for shear-correcting coordinate transformations in Bragg coherent diffraction imaging: Part 2". Includes Matlab code for the geometry-aware 3D FFT and backprojection-based reconstruction.
Interactive phase retrieval software, optimized for transparency rather than efficiency.
library of commonly used optical propagation functions
Este repositório contém os notebooks e simulações realizadas no projeto de iniciação científica.
MATLAB ptychography engines from Sheffield University
Difference map phase retrieval from diffracted image
Easy, fast, configurable version of phasor. Perfect for students who what to start with analyzing Coherent X-ray Diffraction Data.
MR-BCDI: Differentiable multi-reflection Bragg coherent diffraction imaging for lattice distortion fields in crystals
Second order optimization with automatic differentiation
Add a description, image, and links to the phase-retrieval topic page so that developers can more easily learn about it.
To associate your repository with the phase-retrieval topic, visit your repo's landing page and select "manage topics."