Deconvolution of widefield microscopy images and generation of point spread functions
Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.
Point Spread Function calculations for fluorescence microscopy.
Multi-photon quality control tools
[Astronomical Journal 2024] Efficient Point-spread Function Modeling with ShOpt.jl: A PSF Benchmarking Study with JWST NIRCam Imaging
This project deals with blind motion deblurring using a combination of Weiner Deconvolution and Deep Learning techniques to estimate the length and angle parameter of the Point-Spread Function
Imagej macro to calculate the MTF based on a knife edge measurement
A Python package for manipulating and correcting variable point spread functions.
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
End-to-end PSF extraction for 3D microscopy
Test framework and reference implementation of our algorithms relating to the real-time simulation of human vision.
PSF Utilities
Calculations of Optical Point Spread Functions with Python
📚 Выпускная квалификационная работа бакалавра и соответствующая научно-исследовательская работа по специальности "Программная инженерия", МГТУ им. Н.Э. Баумана.
Digital image processing C++ for algo. and Matlab for display.
Python CLI for batch image deblurring, image restoration, deconvolution, and classical computer vision. Includes Wiener, Richardson-Lucy, Tikhonov, TV-ADMM, and unsupervised Wiener methods; motion/Gaussian/box/custom PSFs; recursive OpenCV/scikit-image processing; color/grayscale support, edge padding, presets, and JSON reports.
Super-resolution fluorescence microscopy by stepwise optical saturation
Python package to create synthetic (fluorescence) microscopy images of (nano)particles and convolution with a point spread function
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