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Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising

https://doi.org/10.1109/lsp.2018.2850222

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Examining the Role of Scale in the Context of the Non-Local-Means Filter

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From Local Kernel to Nonlocal Multiple-Model Image Denoising

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Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

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Separating Signal from Noise Using Patch Recurrence across Scales

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Learning Deep CNN Denoiser Prior for Image Restoration

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Non-local Color Image Denoising with Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/cvprw.2017.152openalex-snapshot

Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification

inferredcites →https://doi.org/10.1109/iccphot.2013.6528298openalex-snapshot

Combining the power of Internal and External denoising

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A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical

inferredcites →https://doi.org/10.1109/tci.2016.2629286openalex-snapshot

Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications

inferredcites →https://doi.org/10.1109/tip.2007.891788openalex-snapshot

Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images

inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-snapshot

Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

inferredcites →https://doi.org/10.1109/tip.2017.2779265openalex-snapshot

Single Image Super-Resolution Based on Wiener Filter in Similarity Domain

inferredcites →https://doi.org/10.1109/tpami.2016.2596743openalex-snapshot

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

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FlexISP

inferredcites →https://doi.org/10.5201/ipol.2013.16openalex-snapshot

Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm

inferredcites →https://doi.org/10.5281/zenodo.10401010openalex-snapshot

Data for the CBM Algorithm associated with the WASPAA23 publication.

What points at this work

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Table of Contents

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Channel and Space Attention Neural Network for Image Denoising

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Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising

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DeSeal: Semantic-Aware Seal2Clear Attention for Document Seal Removal

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A Lightweight RAW Video Denoiser With Coarse Alignment and Imbalanced Noise Pre-Training

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Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives

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Cone-Shaped Space Target Inertia Characteristics Identification by Deep Learning With Compressed Dataset

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Ultra-Dense Denoising Network: Application to Cardiac Catheter-Based X-Ray Procedures

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Adaptive Texture-Preserving Denoising Method Using Gradient Histogram and Nonlocal Self-Similarity Priors

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Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction

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Adaptive Hyperspectral Mixed Noise Removal

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Deep Graph-Convolutional Image Denoising

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PNEN: Pyramid Non-Local Enhanced Networks

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Multilevel Edge Features Guided Network for Image Denoising

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Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks With Soft-Thresholding

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AccessFixer: Enhancing GUI Accessibility for Low Vision Users With R-GCN Model

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Anisotropic Denoising of 3D Point Clouds by Aggregation of Multiple Surface-Adaptive Estimates

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Deep Convolutional Network for Spatially Correlated RAYLEIGH Noise Suppression on TerraSAR-X Images

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An attention‐guided convolution neural network for denoising of distributed acoustic sensing–vertical seismic profile data

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Multichannel color image denoising based on multiple dictionaries learning

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U-net like deep autoencoders for deblurring atmospheric turbulence

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Deep learning algorithm for Gaussian noise removal from images

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Removing multi-frame Gaussian noise by combining patch-based filters with optical flow

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A Nonlocal Image Denoising Algorithm Using the Structural Similarity Metric

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Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising

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Hybrid Method for Biomedical Image Denoising

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GloBiMapsAI: An AI-Enhanced Probabilistic Data Structure for Global Raster Datasets

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SCPSN: Spectral Clustering-based Pyramid Super-resolution Network for Hyperspectral Images

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Efficient Parallel Implementation of Non-Local Means Algorithm on GPU

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3D GNLM: Efficient 3D Non-Local Means Kernel with Nested Reuse Strategies for Embedded GPUs

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Brief review of image denoising techniques

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DL2: Dictionary learning regularized with deep learning prior for simultaneous denoising and interpolation

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Learnable dual attention fusion network for borehole distributed acoustic sensing systems data reconstruction

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DCTDBN: Explicit Frequency Decoupling and Adaptive Spatial–Frequency Fusion for Image Denoising

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Comparative Analysis of Machine Learning Based Approaches for Face Detection and Recognition

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Salt and pepper denoising filters for digital images: A technical review

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Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions

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Trainable Active Contour Model for Histological Image Segmentation

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Deep Neural Network Concept for a Blind Enhancement of Document-Images in the Presence of Multiple Distortions

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Research on the Application Status of Machine Vision Technology in Furniture Manufacturing Process

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AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography

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Nonlocal CNN SAR Image Despeckling

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SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep Learning Method

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A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions

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Denoising of BOTDR Dynamic Strain Measurement Using Convolutional Neural Networks

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Cone-Shaped Space Target Inertia Characteristics Identification by Deep Learning with Compressed Dataset

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Cone-Shaped Space Target Inertia Characteristics Identification by Deep Learning with Compressed Dataset

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Optimised denoising-based deep learning classification for evaluating concrete surface cracks

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Image denoising based on a new anisotropic mean curvature model

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Fully Convolutional Pixel Adaptive Image Denoiser

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Neural Nearest Neighbors Networks

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Non-Local Video Denoising by CNN

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DERMATOLOGICAL IMAGE DENOISING USING ADAPTIVE HENLM METHOD

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FIGURE 2 in A partial revision of the Philarius gerlachei (Nobili, 1905) species complex (Crustacea, Decapoda, Palaemonidae), with description of four new species

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An efficient residual learning deep convolutional neural network for de-noising medical images

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Modélisation de fonds complexes statiques et en mouvement : application à la détection d'événements rares dans les séries d'images

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Synthetic learning for neural image restoration methods

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