Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper
From MaRDI portal
Publication:6080965
DOI10.1137/23m1545859zbMath1525.94009arXiv2301.03362MaRDI QIDQ6080965
Michael Elad, Unnamed Author, Gregory Vaksman
Publication date: 25 October 2023
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2301.03362
inverse problemsLangevin dynamicsimage denoisingdiffusion modelsMMSE estimationREDimage synthesisPnPregularization by denoisingperceptual qualityperception-distortion trade-offplug and play prior
Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nonlinear total variation based noise removal algorithms
- The Little Engine that Could: Regularization by Denoising (RED)
- Fields of experts
- Fast interscale wavelet denoising of Poisson-corrupted images
- Estimation of the mean of a multivariate normal distribution
- Exponential convergence of Langevin distributions and their discrete approximations
- An algorithm for total variation minimization and applications
- A variational approach to remove outliers and impulse noise
- Video denoising via empirical Bayesian estimation of space-time patches
- Priors with coupled first and second order differences for manifold-valued image processing
- Image restoration via simultaneous sparse coding: where structured sparsity meets Gaussian scale mixture
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Deep learning on image denoising: an overview
- Convolutional proximal neural networks and plug-and-play algorithms
- Poisson noise reduction with non-local PCA
- Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
- Adaptive wavelet thresholding for image denoising and compression
- Patch Ordering as a Regularization for Inverse Problems in Image Processing
- Principal component analysis: a review and recent developments
- From Denoising to Compressed Sensing
- Robust principal component analysis?
- Image Separation Using Wavelets and Shearlets
- Training Products of Experts by Minimizing Contrastive Divergence
- Secrets of image denoising cuisine
- Nonlocal Operators with Applications to Image Processing
- Tweedie’s Formula and Selection Bias
- Image denoising using scale mixtures of gaussians in the wavelet domain
- Sparse and Redundant Representations
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Learning Multiscale Sparse Representations for Image and Video Restoration
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
- Edge-Preserving Smoothers for Image Processing
- Ideal spatial adaptation by wavelet shrinkage
- Probability Theory
- A general framework for low level vision
- Mathematical Statistics
- $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
- Global Image Denoising
- Sparsity-Based Poisson Denoising With Dictionary Learning
- Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting
- Postprocessing of Compressed Images via Sequential Denoising
- Class-Aware Fully Convolutional Gaussian and Poisson Denoising
- A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising
- Image Restoration by Iterative Denoising and Backward Projections
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- A Graph Framework for Manifold-Valued Data
- Tikhonov Regularization and Total Least Squares
- De-noising by soft-thresholding
- The statistics of natural images
- On the local Lipschitz stability of Bayesian inverse problems
- Structure-preserving deep learning
- Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie
- 3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model
- Deep Graph-Convolutional Image Denoising
- Manifold-valued image processing with SPD matrices
- Total Variation Regularization for Manifold-Valued Data
- A Connection Between Score Matching and Denoising Autoencoders
- Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium
- A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics
- Learning representations by back-propagating errors
- A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations
- Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
- Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising
- Is Denoising Dead?
- Restoration of Poissonian Images Using Alternating Direction Optimization
- Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
- Image Denoising in Mixed Poisson–Gaussian Noise
- Patch-Based Near-Optimal Image Denoising
- Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
- Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms
- Nonlocally Centralized Sparse Representation for Image Restoration
- A Review of Image Denoising Algorithms, with a New One
- THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
- Learning Maximally Monotone Operators for Image Recovery
- Regularization by Denoising via Fixed-Point Projection (RED-PRO)
- Robust Statistics
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