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point-spread-function

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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.

  • Updated Sep 2, 2026
  • 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.

  • Updated Sep 20, 2026
  • Python

Physics-based synthetic data and defocus-regression models for fluorescence microscope autofocus: Richards-Wolf vectorial PSF simulation, 14 sample geometries, a full sCMOS/EMCCD sensor model, geometry-invariant focus features, and the classical z-scan baselines to beat.

  • Updated Sep 28, 2026
  • Python

Euclid stellar-shape and PSF diagnostic for image-quality assessment, weak-lensing calibration and shape-measurement consistency, using reproducible analysis of observational data and explicit quality limits.

  • Updated Oct 4, 2026
  • Python

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