55 Open Source Denoising Software Projects

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

Lighthouse 2 framework for real-time ray tracing

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

EXPERIMENTAL: Real-time path tracing on the web with three.js

DIPY is the paragon 3D/4D+ 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.

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

Tensorflow implementation of conditional variational auto-encoder for MNIST

Fast glsl deNoise spatial filter, with circular gaussian kernel, full configurable

Speech Enhancement using Bayesian WaveNet

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

An unofficial implementation of CBDNet by PyTorch.

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

Deep Plug-and-Play Image Restoration (PyTorch)

PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019

pure Python implement of BM3D

An unofficial implementation of CBDNet by Tensorflow.

DVDnet: A Simple and Fast Network for Deep Video Denoising

🔧🧠 MEEGkit: M/EEG processing toolkit in Python 🧠🔧

A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.

Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactive-reconstruction-monte-carlo-image-sequences-using-recurrent-denoising

Denoise of ECG signal with machine learning

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

[Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"

python wrapper for rnnoise library

A Library for Denoising Single-Cell Data with Random Matrix Theory

Panoramic robust PCA for foreground-background separation on noisy, free-motion camera video

A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .

C/C++ implementation of the LFBM5D filter for light field denoising and super-resolution. https://v-sense.scss.tcd.ie/?p=893

Scale-wise Convolution for Image Restoration

PyTorch implementation of Kernel-predicting convolutional networks for denoising Monte Carlo renderings (Jupyter notebook)

A wavelet audio denoiser done in python

:snowman: Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020, Oral)

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Dictionary Learning for image processing

This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.

C/C++ implementation of the LFBM5D filter for light field denoising and super-resolution.

ASPP: Binaural Speech Enhancement with Atomic Speech Presence Probability Estimation

Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT domain.

Source code of "A Single Model CNN for Hyperspectral Image Denoising"

NDSAR speckle filtering for multidimensional and single-channel SAR images

U-Net for fingerprint denoising

Deep Image Prior for denoising, superresolution, inpainting and more in the browser

A simple Python wrapper to simplify working with audio noise reduction RNNoise.

Image Restoration Toolkit in PyTorch

Denoising Variational Autoencoder

Awesome Resources for Advanced Computer Vision Topics

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)