Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.
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Updated
Oct 20, 2016 - Python
Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.
Deconvolution of widefield microscopy images and generation of point spread functions
Multi-photon quality control tools
Imagej macro to calculate the MTF based on a knife edge measurement
PSF Utilities
Test framework and reference implementation of our algorithms relating to the real-time simulation of human vision.
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
Point Spread Function calculations for fluorescence microscopy.
A Python package for manipulating and correcting variable point spread functions.
Super-resolution fluorescence microscopy by stepwise optical saturation
[Astronomical Journal 2024] Efficient Point-spread Function Modeling with ShOpt.jl: A PSF Benchmarking Study with JWST NIRCam Imaging
End-to-end PSF extraction for 3D microscopy
Interactive, physically-grounded simulator of ocular aberrations and the point spread function. Zernike wavefronts, Fourier optics, real-time PSF and MTF.
Calculations of Optical Point Spread Functions with Python
Non-generative, physics-informed neural deblurring: deep-unfolded Wiener deconvolution + a Lipschitz-constrained learned denoiser, driven by real camera EXIF/optics -- now with diffraction-limited Airy-disk PSFs, per-RGB-channel chromatic dispersion, and depth-guided spatially variant deconvolution.
Interactive point spread function (PSF) and Airy disk simulator. See how wavelength and numerical aperture set the diffraction limit, the Rayleigh criterion for resolving two points, and why chip lithography moved to deep-UV, immersion and EUV light. Runs in the browser, no install.
非盲图像复原与图像复原
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.
Fitting distributions to discrete stellar profiles in FITS data using LGD.
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