Utility functions for image-based phase retrieval
-
Updated
Apr 17, 2024 - Python
Utility functions for image-based phase retrieval
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.,)
Interactive phase retrieval software, optimized for transparency rather than efficiency.
library of commonly used optical propagation functions
Difference map phase retrieval from diffracted image
Fast Inertial Algorithm for Phase Retrieval
A Special Nash Equilibrium
AI-assisted rapid phase imaging for 4D-STEM
Pytorch implementation for Error Reduction algorithm and Hybrid input-output algorithm.
reference implementation of contemporary "forward-reverse" or "iterative transform" phase retrieval algorithms
PhaseRetrieval is a 'work-in-progress' Python-based framework for computational imaging in optics. This includes algorithms for image processing, phase retrieval and image registration.
A toolbox for optical simulation. The implementation of phase-retrieval algorithm is included.
CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.
Software for frequency-resolved optical gating measurements of ultra-fast laser pulses.
Extended Nijboer-Zernike (ENZ) theory toolbox for Python
Python package for high-performance spatial light modulator (SLM) control and holography.
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
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."