Library of phase imaging functions, classes, and methods.
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Updated
Dec 22, 2017 - Python
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.
Interactive phase retrieval software, optimized for transparency rather than efficiency.
Utility functions for image-based phase retrieval
A Special Nash Equilibrium
Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)
AI-assisted rapid phase imaging for 4D-STEM
reference implementation of contemporary "forward-reverse" or "iterative transform" phase retrieval algorithms
Difference map phase retrieval from diffracted image
Fast Inertial Algorithm for Phase Retrieval
library of commonly used optical propagation functions
Pytorch implementation for Error Reduction algorithm and Hybrid input-output algorithm.
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.
Python package for high-performance spatial light modulator (SLM) control and holography.
CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.
Extended Nijboer-Zernike (ENZ) theory toolbox for Python
Software for frequency-resolved optical gating measurements of ultra-fast laser pulses.
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
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