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EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-45528-0openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1007/s10851-019-00921-zopenalex-snapshot
A Unified View on Patch Aggregation
inferredcites →https://doi.org/10.1017/s0962492912000062openalex-snapshot
Secrets of image denoising cuisine
inferredcites →https://doi.org/10.1068/p5321openalex-snapshot
A Biologically Inspired Algorithm for the Recovery of Shading and Reflectance Images
inferredcites →https://doi.org/10.1109/83.392335openalex-snapshot
Nonlinear image recovery with half-quadratic regularization
inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-snapshot
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
inferredcites →https://doi.org/10.1109/iccv.2011.6126278openalex-snapshot
From learning models of natural image patches to whole image restoration
inferredcites →https://doi.org/10.1109/icip.2007.4378954openalex-snapshot
Color Image Denoising via Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space
inferredcites →https://doi.org/10.1109/tip.2011.2176743openalex-snapshot
Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
inferredcites →https://doi.org/10.1109/tip.2015.2499698openalex-snapshot
Multi-Scale Patch-Based Image Restoration
inferredcites →https://doi.org/10.1109/tpami.2006.64openalex-snapshot
Unsupervised, information-theoretic, adaptive image filtering for image restoration
inferredcites →https://doi.org/10.1137/17m1135694openalex-snapshot
High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI)
inferredcites →https://doi.org/10.1137/18m116890xopenalex-snapshot
Image Denoising with Generalized Gaussian Mixture Model Patch Priors
inferredcites →https://doi.org/10.5201/ipol.2011.ys-dctopenalex-snapshot
DCT Image Denoising: a Simple and Effective Image Denoising Algorithm
inferredcites →https://doi.org/10.5201/ipol.2012.l-bm3dopenalex-snapshot
An Analysis and Implementation of the BM3D Image Denoising Method
inferredcites →https://doi.org/10.5201/ipol.2012.llm-ksvdopenalex-snapshot
An Implementation and Detailed Analysis of the K-SVD Image Denoising Algorithm
inferredcites →https://doi.org/10.5201/ipol.2013.16openalex-snapshot
Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-75549-2_29openalex-snapshot
Learning Local Regularization for Variational Image Restoration
inferred← citeshttps://doi.org/10.1007/978-3-031-92089-9_3openalex-snapshot
One-Shot Image Restoration
inferred← citeshttps://doi.org/10.1007/s11760-023-02907-2openalex-snapshot
Wireless channel corrupted image denoising using residual learning of adaptive wavelet with dilated deep convolutional neural network
inferred← citeshttps://doi.org/10.1007/s40042-024-01167-8openalex-snapshot
Dictionary learning-based denoising algorithm with expected patch log likelihood in diffusion-weighted magnetic resonance image
inferred← citeshttps://doi.org/10.1016/j.matcom.2020.07.024openalex-snapshot
Evaluation of thermal cracks on fire exposed concrete structures using Ripplet transform
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110986openalex-snapshot
Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction
inferred← citeshttps://doi.org/10.1016/j.sigpro.2022.108486openalex-snapshot
Noise reduction in two-photon laser scanned microscopic images by singular value decomposition with copula threshold
inferred← citeshttps://doi.org/10.1049/iet-bmt.2019.0016openalex-snapshot
Cost‐effective and accurate palm vein recognition system based on multiframe super‐resolution algorithms
inferred← citeshttps://doi.org/10.1049/sil2/4971725openalex-snapshot
WA‐BSN: Self‐Supervised Real‐World Image Denoising Based on Wavelet‐Adaptive Blind Spot Network
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01706openalex-snapshot
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01720openalex-snapshot
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00235openalex-snapshot
C2N: Practical Generative Noise Modeling for Real-World Denoising
inferred← citeshttps://doi.org/10.1109/infoteh53737.2022.9751294openalex-snapshot
Noise reduction quality test for two-photon laser scanning microscopic images
inferred← citeshttps://doi.org/10.1109/tifs.2021.3111713openalex-snapshot
Efficient Steganography in JPEG Images by Minimizing Performance of Optimal Detector
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1012192openalex-snapshot
Zero-shot denoising of microscopy images recorded at high-resolution limits
inferred← citeshttps://doi.org/10.3390/jimaging9110237openalex-snapshot
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction
inferred← citeshttps://doi.org/10.3390/s22249844openalex-snapshot
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.2011.03462openalex-snapshot
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods
inferred← citeshttps://doi.org/10.48550/arxiv.2110.03220openalex-snapshot
Gradient Step Denoiser for convergent Plug-and-Play
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