Papers with code in image denoising(Constantly updated)

Papers with code in image denoising

    • Some Classic networks
    • 2D image denoising
    • Video denoising
    • ★HSI denoising
    • Papers with code in other field
    • 以下是用matlab实现的network
    • noise estimation
    • HSI Super-Resolution using Pytorch

Some Classic networks

  • ResNet:Deep Residual Learning for Image Recognition
  • U-Net: Convolutional Networks for Biomedical Image Segmentation
  • FCN:Fully Convolutional Networks for Semantic Segmentation
  • DeepLab V3+:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

2D image denoising

1. https://github.com/wenbihan/reproducible-image-denoising-state-of-the-art
2. https://paperswithcode.com/task/image-denoising
补充:https://github.com/z-bingo/awesome-image-denoising-state-of-the-art
benchmark: https://noise.visinf.tu-darmstadt.de/benchmark/

  • NLM:A non-local algorithm for image denoising (CVPR 2005), Buades et al.
  • KSVD:Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (TIP 2006), Elad et al.
  • BM3D:Image restoration by sparse 3D transform-domain collaborative filtering (SPIE Electronic Imaging 2008), Dabov et al.
  • SAIST:Nonlocal image restoration with bilateral variance estimation: a low-rank approach (TIP2013), Dong et al.
  • Optimal inversion of the Anscombe and Generalized Anscombe variance-stabilizing transformations(2013)
  • WNNM:Weighted Nuclear Norm Minimization with Application to Image Denoising (CVPR2014), Gu et al.
  • TNRD:Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration (TPAMI 2016), Chen et al.
  • Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS2016), Mao et al. 或地址
  • DnCNN:Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP2017), Zhang et al. 测试成功,有训练代码
  • IRCNN:Learning Deep CNN Denoiser Prior for Image Restoration(CVPR2017) 测试成功
  • MemNet: A Persistent Memory Network for Image Restoration (ICCV2017), Tai et al. 测试失败,caffe多错,尝试pytorch或tensorflow版
  • NLNet:Non-Local Color Image Denoising with Convolutional Neural Networks (CVPR 2017), Lefkimmiatis. 测试失败
  • Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification(2017)或:Python地址 测试成功

  • xUnit: Learning a Spatial Activation Function for Efficient Image Restoration (CVPR 2018), Kligvasser et al.
  • UDNet:Universal Denoising Networks : A Novel CNN Architecture for Image Denoising (CVPR 2018), Lefkimmiatis. 有训练代码,结果很奇怪,后面报错
  • Wavelet-CNN:Multi-level Wavelet-CNN for Image Restoration (CVPR 2018), Liu et al. 测试成功,有训练代码,训练成功
  • FFDNet:Toward a Fast and Flexible Solution for CNN-Based Image Denoising (TIP 2018), Zhang et al. 测试成功,有训练代码
  • DIP:Deep Image Prior (CVPR 2018), Ulyanov et al.
  • NLRN:Non-Local Recurrent Network for Image Restoration (NIPS 2018), Liu et al.
  • RDN+:Residual Dense Network for Image Super-Resolution(CVPR 2018), Zhang et al.
  • IRN:Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks (ECCV 2018), Lefkimmiatis.
  • Neural Nearest Neighbors Networks (NIPS 2018), Plotz et al.

  • FC-AIDE:Fully Convolutional Pixel Adaptive Image Denoiser (ICCV 2019), Cha et al.
  • FOCNet: A Fractional Optimal Control Network for Image Denoising (CVPR 2019), Jia et al. 测试成功,有训练代码,训练成功
  • Enhanced CNN for image denoising(2019)
  • [VDNet] Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) 有训练代码
  • Self-Guided Network for Fast Image Denoising(2019) 有训练代码,测试失败
  • Fast Image Restoration with Multi-bin Trainable Linear Units
  • Multi-level wavelet convolutional neural networks(2019) 有训练代码
  • [CBDNet] Toward Convolutional Blind Denoising of Real Photographs (CVPR2019), Guo et al. 测试成功,训练代码(训练失败,缺数据文件),部分数据效果好
  • Real Image Denoising with Feature Attention (ICCV2019), Anwar and Barnes.
  • High-Quality Self-Supervised Deep Image Denoising (NIPS2019), Laine et al.
  • Denoising Prior Driven Deep Neural Network for Image Restoration 有训练代码
  • Pyramid Real Image Denoising Network(2019) 有训练代码
  • RC-Net:Image Restoration Using Deep Regulated Convolutional Networks matlab
  • Unprocessing Images for Learned Raw Denoising(CVPR2019)
  • Residual Non-local Attention Networks for Image Restoration(ICLR2019)
  • Densely Connected Hierarchical Network for Image Denoising(CVPRW2019)
  • Texture variation adaptive image denoising with nonlocal PCA(2019) 3D4D版本

  • Python实现的代码大部分需要自己整理训练数据集
  • Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image(CVPR2020)
  • Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization(CVPR2020)
  • CycleISP Real Image Restoration via Improved Data Synthesis(CVPR2020)
  • Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring(CVPR2020)
  • A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising(CVPR2020)
  • Learning Invariant Representation for Unsupervised Image Restoration(CVPR2020)
  • Unpaired Learning of Deep Image Denoising(ECCV2020) 有训练代码
  • Dual Adversarial Network Toward Real-world Noise Removal and Noise Generation(ECCV2020) 有训练代码
  • Spatial-Adaptive Network for Single Image Denoising(ECCV2020) 有训练代码
  • Practical Deep Raw Image Denoising on Mobile Device(ECCV2020)
  • PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration(ECCV2020)
  • Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration(ECCV2020)
  • Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation(ECCV2020)
  • Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks(ECCV2020)
  • Burst Denoising via Temporally Shifted Wavelet Transforms(ECCV2020)
  • Learning Enriched Features for Real Image Restoration and Enhancement(ECCV2020)
  • Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration(ECCV2020)
  • Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters(ECCV2020)
  • End-to-End Unpaired Image Denoising with Conditional Adversarial Networks(AAAI2020)
  • Scale-Wise Convolution for Image Restoration(AAAI2020)
  • Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising(NeurIPS2020)
  • Neural Sparse Representation for Image Restoration(NeurIPS2020)
  • CLEARER: Multi-Scale Neural Architecture Search for Image Restoration(NeurIPS2020) 有训练代码,测试失败(缺文件)
  • NTGAN: Learning Blind Image Denoising without Clean Reference(2020)
  • Attention-guided CNN for image denoising(2020) Python2
  • Pyramid Attention Networks for Image Restoration 有训练代码,数据集很大,需要下载,针对彩色图像去噪
  • Image denoising using deep CNN with batch renormalization(2020) 不知道运行哪个
  • Plug-and-Play Image Restoration with Deep Denoiser Prior(2020) 测试成功,训练代码为FFDNet的修改
  • Designing and Training of A Dual CNN for Image Denoising(2020) 未公布
  • Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising(2020) 测试成功
  • Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
  • Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels
  • Deep Graph-Convolutional Image Denoising Python2
  • BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
  • CFMNet:Flexible Image Denoising with Multi-layer Conditional Feature Modulation 有训练代码,测试失败,缺乏数据集
  • Gated Texture CNN for Efficient and Configurable Image Denoising
  • Densely Self-guided Wavelet Network for Image Denoising(CVPRW) 有训练代码
  • Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image(2020TIP) 有训练代码
  • Flashlight CNN Image Denoising
  • Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNN(2020)
  • Distillating Knowledge from Original Network and Siamese Network for Real Image Denoising
  • [FAN] Frequency Attention Network: Blind Noise Removal for Real Images, ACCV, 2020
  • Multilevel Edge Features Guided Network for Image Denoising

  • DUBD:Deep Universal Blind Image Denoising(2021)
  • Quantum mechanics-based signal and image representation: application to denoising
  • Adversarial Training for Solving Inverse Problems in Image Processing(2021) 有训练代码
  • MPRNet:Multi-Stage Progressive Image Restoration(CVPR2021) 有训练代码
  • Pre-Trained Image Processing Transformer(CVPR2021)
  • Auto-Exposure Fusion for Single-Image Shadow Removal(CVPR2021)
  • Plug-and-Play external and internal priors for image restoration(未更新)
  • A support-denoiser-driven framework for single image restoration(2021)
  • A Residual Dense U-Net Neural Network for Image Denoising(2021)
  • A Noise-Robust Online Convolutional Coding Model and Its Applications to Poisson Denoising and Image Fusion
  • Efficient Deep Image Denoising via Class Specific Convolution
  • COLA-Net: Collaborative Attention Network for Image Restoration
  • Minimum unbiased risk estimate based 2DPCA for color image denoising(2021)
  • An Unsupervised deep learning approach for real-world image denoising(ICLR2021)
  • GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images(ICLR2021)
  • NBNet: Noise Basis Learning for Image Denoising with Subspace Projection(CVPR2021) 或地址
  • High Perceptual Quality Image Denoising with a Posterior Sampling CGAN(2021)
  • Variational Deep Image Denoising(2021)
  • Median Filter Aided CNN Based Image Denoising An Ensemble Aprroach
  • Training a Better Loss Function for Image Restoration
  • A new blind image denoising method based on asymmetric generative adversarial network
  • Dilated kernel prediction network for single-image denoising
  • Invertible Denoising Network: A Light Solution for Real Noise Removal(CVPR2021)
  • Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network
  • HINet: Half Instance Normalization Network for Image Restoration
  • Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor(2021CVPRW)
  • Deep Convolutional Dictionary Learning for Image Denoising(CVPR2021)
  • Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images(CVPR2021)
  • New: Neighbor2Neighbor: A Self-Supervised Framework for Deep Image Denoising 2022TIP
  • Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network 未公布
  • BoostNet: A Boosted Convolutional Neural Network for Image Blind Denoising
  • Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models(2021TIP)
  • FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise(CVPR2021)
  • Uformer: A General U-Shaped Transformer for Image Restoration 重点研究!!
  • DRNet: A Deep Neural Network With Multi-Layer Residual Blocks Improves Image Denoising
  • ICCV2021:Rethinking Deep Image Prior for Denoising
  • ICCV2021:Spatially-Adaptive Image Restoration using Distortion-Guided Networks
  • SwinIR: Image Restoration Using Swin Transformer 重点研究!!
  • Restormer: Efficient Transformer for High-Resolution Image Restoration
  • U^2 -Former: A Nested U-shaped Transformer for Image Restoration
  • On Efficient Transformer and Image Pre-training for Low-level Vision
  • Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration

  • Fast and High-Quality Image Denoising via Malleable Convolutions(2022)
  • IDEA-Net: Adaptive Dual Self-Attention Network for Single Image Denoising(WACV2022)
  • Deep Image Denoising with Adaptive Priors
  • Simple Baselines for Image Restoration
  • Decomposed Neural Architecture Search for Image Denoising
  • NHNet: A Non-Local Hierarchical Network for Image Denoising
  • Robust Deep Ensemble Method for Real-world Image Denoising
  • Variational Deep Image Restoration

Video denoising

  • A non-local CNN for video denoising(2019)
  • ViDeNN: Deep Blind Video Denoising(CVPR2019)
  • Model-blind video denoising via frame-to-frame training(CVPR2019)
  • Learning Deformable Kernels for Image and Video Denoising(2019)
  • FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation(CVPR2020)
  • Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes(CVPR2020)
  • Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising(2020)
  • Self-supervised training for blind multi-frame video denoising(2021)
  • Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask(2021)
  • ICCV2021:Deep Reparametrization of Multi-Frame Super-Resolution and Denoising(无代码)

★HSI denoising

HSI:https://github.com/junjun-jiang/Hyperspectral-Image-Denoising-Benchmark
Global Correlation along Spetrum(GCS),Non-local Self Similarity(NSS)
ICVL数据集:http://icvl.cs.bgu.ac.il/hyperspectral/
http://lesun.weebly.com/hyperspectral-data-set.html
WDC华盛顿地址:https://engineering.purdue.edu/~biehl/MultiSpec/hyperspectral.html
数据集大全:https://rslab.ut.ac.ir/data

  • [LRTA] Denoising and Dimensionality Reduction Using Multilinear Tools for Hyperspectral Images(2008) 测试成功
  • [PARAFAC] Denoising of hyperspectral images using the PARAFAC model and statistical performance analysis(2012) 测试成功,效果较差
  • [TDL] Decomposable nonlocal tensor dictionary learning for multispectral image denoising, CVPR2014, P. Yi et al. 测试成功
  • [LRMR] Hyperspectral image restoration using low-rank matrix recovery, TGRS2014, H. Zhang et al. 测试成功,比较久,需要调参
  • [NAILRMA] Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation, JStars2015, H. Zhang et al 测试成功,需要调参
  • [SR+LRC] Hyperspectral image denoising via sparse representation and low-rank constraint, TGRS2015, Y. Zhao et al. 测试失败
  • [ITSReg] Multispectral images denoising by intrinsic tensor sparsity regularization, CVPR2016, Q. Xie et al. 测试成功
  • [LRTV] Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration(2016) 测试成功
  • [WSNM] Hyperspectral image restoration via iteratively regularized weighted schatten p-norm minimization(2016)
  • [LLRT] Hyper-Laplacian Regularized Unidirectional Low-rank Tensor Recovery for Multispectral Image Denoising, CVPR2017, Y. Chang et al或:地址 测试成功
  • [GLF] Hyperspectral image denoising based on global and non-local low-rank factorizations(2017)
  • [LR] Hyperspectral image denoising and anomaly detection based on low-rank and sparse representations(2017)
  • [NMoG] Denoising Hyperspectral Image with Non-i.i.d. Noise Structure, IEEE TCYB2017, Y. Chen et al. 测试成功
  • [LLRGTV/LLRSSTV] Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation(2018) 测试成功
  • [FastHyDe] Fast hyperspectral image denoising and inpainting based on low-rank and sparse representations, J-STARS2018, L. Zhuang et al. 测试成功
  • Hyperspectral Image Restoration under Complex Multi-Band Noises(2018)
  • [LRTDTV] Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition(2018)或:地址 测试成功
  • [HSID-CNN] Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network, TGRS2018, Q. Yuan et al. 测试成功,但caffe多坑,尝试pytorch或tensorflow版本(github上都有)
  • HSI-DeNet: Hyperspectral image restoration via convolutional neural network(2018)

  • [SNLRSF] Hyperspectral Image Denoising via Subspace-Based Nonlocal Low-Rank and Sparse Factorization(2019)
  • [LR] Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization(2019)或:地址
  • [Tensor] Color Image and Multispectral Image Denoising Using Block Diagonal Representation, arXiv2019, Zhaoming Kong et al.
  • Hyperspectral Image Denoising using Dictionary Learning(2019)
  • [LRTDGS] Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition
  • [NGmeet] Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. CVPR. 2019 测试成功,参数比较多
  • [DHP] Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution, arxiv2019, Oleksii Sidorov et al.
  • [DD-CNN] Hyperspectral Image Denoising With Dual Deep CNN 测试成功,但效果不太好
  • [SSGN] Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network(未更新)
  • [DSSRL] Deep Spatial-spectral Representation Learning for Hyperspectral Image Denoising, IEEE TCI 2019, Weisheng Dong et al. 测试失败:Unable to open object (object ‘train_input’ doesn’t exist),TF1版本太旧了
  • [SDeCNN] A Single Model CNN for Hyperspectral Image Denoising(2019) 有训练代码,训练非常久(考虑更改学习率),测试成功,非常重要!在此基础上改进!
  • Zero-Shot Hyperspectral Image Denoising With Separable Image Prior

  • [QRNN3D] 3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising(2020) 训练集非常多且需要手动下载,非常重要!在此基础上改进!
  • [E-3DTV] Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing(2020)或:地址
  • Hyperspectral Mixed Noise Removal By ℓ1-Norm-Based Subspace Representation(2020)
  • [DSSBP] Deep Spatio-Spectral Bayesian Posterior for Hyperspectral Image Non-i.i.d. Noise Removal(未更新)
  • [WLRTR] Weighted low-rank tensor recovery for hyperspectral image restoration(2020)
  • A Tensor Subspace Representation Method for Hyperspectral Image Denoising(2020)
  • [LTDL] A low-rank tensor dictionary learning method for hyperspectral image denoising(2020)
  • [LRTF-DFR] Double Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image(2020)
  • Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist(2020)
  • [ENCAM] Enhanced Non-Local Cascading Network with Attention Mechanism for Hyperspectral Image Denoising(2020)
  • [MsDUC] Fast stripe noise removal from hyperspectral image via multi-scale dilated unidirectional convolution(2020) 测试失败
  • A New Multi-Scale Residual Learning Network for HSI Inconsistent Noise Removal(未更新)
  • Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks Tensorflow 2.0 跑一下!

  • Hyperspectral Image Restoration by Tensor Fibered Rank Constrained Optimization and Plug-And-Play Regularization(2021)
  • Uncertainty Quantification of Hyperspectral Image Denoising Frameworks Based on Sliding-Window Low-Rank Matrix Approximation(2021) matlab
  • Thermal Hyperspectral Image Denoising Using Total Variation Based on Bidirectional Estimation and Brightness Temperature Smoothing(2021)
  • A Graph-regularized Non-local Hyperspectral Image Denoising Method(2021) matlab
  • Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising(2021) 已公布!跑一次!
  • Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise(CVPR2021) 论文地址
  • Adaptive Hyperspectral Mixed Noise Removal
  • 综合:https://drive.google.com/drive/folders/1BxlOTwKXb8VvgPCB3QufnTnaTAjWMLAk

Papers with code in other field

  • SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion
  • MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion
  • [ ]
  • Few-shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
  • Graph Convolutional Networks for Hyperspectral Image Classification
  • Hyperspectral Image Classification with Feature-Oriented Adversarial Active Learning
  • HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers(2020)
  • SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation(2021)
  • Spatial-Spectral Transformer for Hyperspectral Image Classification(2021) 未公布
  • [ ]
  • Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution(ECCV2020)
  • Model-Guided Deep Hyperspectral Image Super-resolution(2021)
  • Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-Resolution(2021)
  • [ ]
  • No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning
  • [ ]
  • Convolutional Two-Stream Generative Adversarial Network-Based Hyperspectral Feature Extraction(2021 注:有SVM分类代码)
  • [ ]

以下是用matlab实现的network

  • Hyperspectral Image Classification via a Random Patches Network
  • Hyperspectral Image Classification with Convolutional Neural Network and Active Learning
  • Deep supervised learning for hyperspectral data classification through convolutional neural networks
  • Hyperspectral Image Classification With Deep Feature Fusion Network
  • Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction
  • Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization
  • Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser

noise estimation

  • Noise Level Estimation Using Weak Textured Patches of a Single Noisy Image(2012)
  • Image Noise Level Estimation by Principal Component Analysis(2013)
  • An Efficient Statistical Method for Image Noise Level Estimation(2015)

HSI Super-Resolution using Pytorch

  • 2021 Hyperspectral Image Super-resolution via Deep Spatio-spectral Attention Convolutional Neural Networks

欢迎补充~

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