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

pycirclemedianfilter

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

careamics

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

l1tv

Denoising/reconstruction of piecewise constant signals using the L1TV model

pawflim

Wavelet denoising of phasors.

biapy

Open source Python library for building bioimage analysis pipelines

topaz-em

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

meteor-maps

denoise crystallographic difference maps

itk-totalvariation

External Module for Total Variation Algorithms, providing wrap for https://github.com/albarji/proxTV

multimodal-fusion

Fuse multi-modal electron microscopy datasets using inverse problems

audiotame

Command-line tool that normalizes audio and reduces noise.

careamics-napari

napari plugin for CAREamics

aydin

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

qmm

Quadratic Majorize-Minimize Python toolbox

nsnet2-denoiser

NSNet2 Deep Noise Suppression (DNS) package

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

diffusers-dmse

PyPI package for MSE-optimal denoising with diffusion models.

dbmap

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

denoisers

Simple PyTorch Denoisers for Waveform Audio

condat-tv

Python wrapper for the fast TV denoising algorithm by Laurent Condat

claritycore

Next-generation Open Source toolkit for low-level vision. Engineered for state-of-the-art performance in image and video restoration, including Super-Resolution, Denoising, Deblurring, and more.

ddkf

Dual Dynamic Kernel Filtering (DDKF): Minimal package with arbitrary kernels and learnable parameters