ExpFamilyPCA.jl
ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis - Published in JOSS (2025)
QMRTools
QMRTools: a Mathematica toolbox for quantitative MRI analysis. - Published in JOSS (2019)
https://github.com/dipy/dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
https://github.com/forieux/qmm
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
upscaler
Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.
https://github.com/marieroald/condat_tv
Python wrapper for the fast TV denoising algorithm by Laurent Condat
https://github.com/beatawereszczynska/k-space_masking_for_mri_denoising
Graduate k-space masking for MRI image denoising and blurring (on the example of Agilent FID data). (Python 3)
cats
Cluster Analysis of Trimmed Spectrograms: framework for detection and denoising of sparse signals in time-frequency domain.
k-space_wght_msk_for_mri_denoising
k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)