Denoising Python Packages

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.

meegkit

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

careamics

A deep-learning library for denoising images using Noise2Void and friends, with a focus on user-experience and documentation.)

pycirclemedianfilter

Fast median filter for circle-valued data, for example signals or images describing phase or orientation

biapy

Open source Python library for building bioimage analysis pipelines

pawflim

Wavelet denoising of phasors.

itk-totalvariation

TotalVariation algorithms, providing a wrap for the external project: https://github.com/albarji/proxTV

topaz-em

Particle picking with positive-unlabeled CNNs

careamics-napari

napari plugin for CAREamics

qmm

Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...

multimodal-fusion

Multi-Modal Electron Microscopy Data Fusion

meteor-maps

bringing you the best difference maps

l1tv

Denoising/reconstruction of piecewise constant signals using the L1TV model

vapoursynth-nlm-ispc

Non-local means denoise filter, drop-in replacement of the venerable KNLMeansCL for VapourSynth, but without the OpenCL dependency (CPU only)

mapfusion

Fuse multi-modal electron microscopy datasets using inverse problems

audiotame

A command-line tool that normalizes audio and reduces noise. Optional Gradio Web UI

aydin

Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.

condat-tv

Python wrapper for the fast TV denoising algorithm by Laurent Condat

denoisers

A package for training audio denoisers

nsnet2-denoiser

NSNet2 Deep Noise Suppression (DNS) package

diffusers-dmse

Integrating the diffusion model-based MSE-optimal denoising strategy into the diffusers pipeline.

dbmap

dbMAP: diffusion metrics, graphs and layouts for machine-learning

promethium-seismic

Promethium is a state-of-the-art, AI-driven framework for seismic signal reconstruction, denoising, and geophysical data enhancement, integrating cutting-edge deep learning architectures with production-grade data engineering.

pyrssa

Python package for Singular Spectrum Analysis