92 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 DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

[UNMAINTAINED] 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 Rethinking the Pipeline of 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

PyTorch implementation of paper "Toward Convolutional Blind Denoising of Real Photographs" (CVPR 2019)

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

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

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

pure Python implement of BM3D

Tensorflow implementation of paper "Toward Convolutional Blind Denoising of Real Photographs" (CVPR 2019)

DVDnet: A Simple and Fast Network for Deep Video Denoising

🔧🧠 MEEGkit: MEG & 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)

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 for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.

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)

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

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.

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

A paper list of 3D Point Cloud Denoising

This is the official implementation of Beyond Joint Demosaicking and Denoising from CVPRW21.

Discover, install, and share napari plugins

Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

Moiré pattern denoiser for screen pictures

A denoising plugin for Chunky.

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]

codes for TNNLS paper "Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration"

This code implements the code of the paper ,"Neighbor2Neighbor:Self-Supervised Denoising From Single Noisy Images",in2021

This is the project page of our paper which has been published in ECCV 2020.

Python implementation of the Non Local Means algorithm for image denoising.

Unsupervised Deep Video Denoising, ICCV 2021

Lectures on Bayesian statistics and information theory

SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy - Notebook implementation usable on Google Colaboratory

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

A pytorch implementation of Deep Graph Laplacian Regularization for image denoising

The PyTorch implementation of SGN (ICCV 2019), modified from https://github.com/zhaoyuzhi/Self-Guided-Network-for-Fast-Image-Denoising

This is a point cloud denoiser using Weighted Locally Optimal Projection

Automatic Microseismic Denoising and Onset Detection using customized thresholding.

PyTorch implementation of Expected Patch Log Likelihood (EPLL) image prior in paper "D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration," ICCV 2011.

BruteForce Image Patchmatch

This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach

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

A Super-Resolution Convolutional Neural Network builds for artwork, anime, and illustration. Senior Project - Artwork Enlargement and Quality Improvement using Machine Learning. ICITEE 2021 - Enhancement of Anime Imaging Enlargement Using Modified Super-Resolution CNN.

Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.

Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"

Simple inference codes for Neural Network (AI) models