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