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What makes a good model of natural images?
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-0745-0openalex-snapshot
Bayesian Learning for Neural Networks
inferredcites →https://doi.org/10.1007/978-3-540-24670-1_46openalex-snapshot
User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior
inferredcites →https://doi.org/10.1007/978-94-011-5014-9_5openalex-snapshot
An Introduction to Variational Methods for Graphical Models
inferredcites →https://doi.org/10.1016/0004-3702(81)90024-2openalex-snapshot
Determining optical flow
inferredcites →https://doi.org/10.1016/0042-6989(96)00002-8openalex-snapshot
Modelling the Power Spectra of Natural Images: Statistics and Information
inferredcites →https://doi.org/10.1016/s0042-6989(97)00121-1openalex-snapshot
The “independent components” of natural scenes are edge filters
inferredcites →https://doi.org/10.1016/s0893-6080(00)00026-5openalex-snapshot
Independent component analysis: algorithms and applications
inferredcites →https://doi.org/10.1023/a:1007665907178openalex-snapshot
An Introduction to Variational Methods for Graphical Models
inferredcites →https://doi.org/10.1038/381607a0openalex-snapshot
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
inferredcites →https://doi.org/10.1088/0954-898x_14_3_302openalex-snapshot
Statistics of natural image categories
inferredcites →https://doi.org/10.1109/34.632983openalex-snapshot
Prior learning and Gibbs reaction-diffusion
inferredcites →https://doi.org/10.1109/34.862195openalex-snapshot
Exploring texture ensembles by efficient Markov chain Monte Carlo-Toward a "trichromacy" theory of texture
inferredcites →https://doi.org/10.1109/acssc.1997.680530openalex-snapshot
Statistical models for images: compression, restoration and synthesis
inferredcites →https://doi.org/10.1109/cvpr.2004.1315041openalex-snapshot
Efficient belief propagation for early vision
inferredcites →https://doi.org/10.1109/cvpr.2005.160openalex-snapshot
Fields of Experts: A Framework for Learning Image Priors
inferredcites →https://doi.org/10.1109/iccv.1999.791245openalex-snapshot
Fast approximate energy minimization via graph cuts
inferredcites →https://doi.org/10.1109/iccv.2001.937606openalex-snapshot
Deriving intrinsic images from image sequences
inferredcites →https://doi.org/10.1109/iccv.2005.180openalex-snapshot
On the spatial statistics of optical flow
inferredcites →https://doi.org/10.1109/tip.2003.818640openalex-snapshot
Image denoising using scale mixtures of gaussians in the wavelet domain
inferredcites →https://doi.org/10.1109/tpami.2002.1017626openalex-snapshot
Learning in Gibbsian fields: how accurate and how fast can it be?
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1145/1141911.1141956openalex-snapshot
Removing camera shake from a single photograph
inferredcites →https://doi.org/10.1162/089976602753633439openalex-snapshot
Products of Gaussians and Probabilistic Minor Component Analysis
inferredcites →https://doi.org/10.1162/089976606775093936openalex-snapshot
Topographic Product Models Applied to Natural Scene Statistics
inferredcites →https://doi.org/10.48550/arxiv.1212.2513openalex-snapshot
Efficient Parametric Projection Pursuit Density Estimation
inferredcites →https://doi.org/10.48550/arxiv.1301.2278openalex-snapshot
Discovering Multiple Constraints that are Frequently Approximately Satisfied
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Mdtnet: Partial Transformer with Degradation-Aware Module for Restoring Old Photos with Multiple Degradations
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Achieving data privacy on hybrid cloud
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Deblurring Natural Image Using Super-Gaussian Fields
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Adversarial Training for Dual-Stage Image Denoising Enhanced with Feature Matching
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Maintaining Natural Image Statistics with the Contextual Loss
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CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance
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Reconstructing the Noise Variance Manifold for Image Denoising
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Hybrid Domain Convolutional Neural Network for Memory Efficient Training
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Image Quality Improvement of Surveillance Camera Image by Learning Noise Removal Method Using Noise2Noise
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Blind Deconvolution Methods: A Review
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MAP Estimation: When Does It Work?
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Good Image Priors for Non-blind Deconvolution
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Expected Patch Log Likelihood with a Sparse Prior
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Robust Face Hallucination via Similarity Selection and Representation
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Simple, Accurate, and Robust Nonparametric Blind Super-Resolution
inferred← citeshttps://doi.org/10.1007/978-3-540-88688-4_28openalex-snapshot
Learning for Optical Flow Using Stochastic Optimization
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Sparse Long-Range Random Field and Its Application to Image Denoising
inferred← citeshttps://doi.org/10.1007/978-3-642-15549-9_13openalex-snapshot
Single Image Deblurring Using Motion Density Functions
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A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation
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Improving Denoising Algorithms via a Multi-scale Meta-procedure
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Mean Field for Continuous High-Order MRFs
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How Well Do Filter-Based MRFs Model Natural Images?
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Hybrid Classifiers for Object Classification with a Rich Background
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Text Image Deblurring Using Text-Specific Properties
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A Theoretical Analysis of Camera Response Functions in Image Deblurring
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Nonlocal Spectral Prior Model for Low-Level Vision
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Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration
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Normalized filter pool for prior modeling of nature images
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Local motion deblurring using an effective image prior based on both the first- and second-order gradients
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Non-blind deblurring of structured images with geometric deformation
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SW/SE-CNN: semi-wavelet and specific image edge extractor CNN for Gaussian image denoising
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The classification and denoising of image noise based on deep neural networks
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NIRN: Self-supervised noisy image reconstruction network for real-world image denoising
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Product of Gaussian Mixture Diffusion Models
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Anti-Forensics Contrast Enhancement Detection (AFCED) Technique in Images Based on Laplace Derivative Histogram
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A survey of denoising techniques for multi-parametric prostate MRI
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Blind motion image deblurring using an effective blur kernel prior
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Neural network solution for a real-time no-reference video quality assessment of H.264/AVC video bitstreams
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Survey of denoising, segmentation and classification of magnetic resonance imaging for prostate cancer
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Denoising techniques for cephalometric x-ray images: A comprehensive review
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Optimal filter based on scale-invariance generation of natural images
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Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
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Foveated Nonlocal Self-Similarity
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An application of deep dual convolutional neural network for enhanced medical image denoising
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A multi-scale generative adversarial network for real-world image denoising
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Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach
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PC-Autonet: A novel approach for denoising of magnetic Resonance imaging for prostate cancer detection
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Efficient belief propagation for higher-order cliques using linear constraint nodes
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Non-blind image deconvolution using a regularization based on re-blurring process
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Model-based motion blur estimation for the improvement of motion tracking
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Image segmentation using adaptive loopy belief propagation
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Video super resolution based on non-local regularization and reliable motion estimation
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Curvature preserving image super-resolution with gradient-consistency-anisotropic-regularization prior
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Image restoration using structured sparse representation with a novel parametric data-adaptive transformation matrix
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Deblurring of motion blurred images using histogram of oriented gradients and geometric moments
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Cascaded and Recursive ConvNets (CRCNN): An effective and flexible approach for image denoising
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Image blind denoising using dual convolutional neural network with skip connection
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Image denoising review: From classical to state-of-the-art approaches
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High-quality non-blind image deconvolution with adaptive regularization
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Image denoising based on iterative generalized cross-validation and fast translation invariant
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Bi-l 0 -l 2 -norm regularization for blind motion deblurring
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A two-stage convolutional sparse prior model for image restoration
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Image deblurring with filters learned by extreme learning machine
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A joint appearance model of SRC and MFH for multi-objects tracking
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Dilated Residual Networks with Symmetric Skip Connection for image denoising
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Complementary coded aperture set for compressive high-resolution imaging
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Deep recursive network for image denoising with global non-linear smoothness constraint prior
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MDTNet: Partial transformer with degradation-aware module for restoring old photos with multiple degradations
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PFCPNet: A progressive feature correction and prompt network for robust real-world image denoising
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Regularized motion blur-kernel estimation with adaptive sparse image prior learning
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Learning explicit and implicit visual manifolds by information projection
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New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation
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Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering
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Spatially-varying image deblurring
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Analysis and design of coded apertures for defocus deblurring based on imaging system properties and optical features
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Iterative weighted sparse representation for X‐ray cardiovascular angiogram image denoising over learned dictionary
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Image patch prior learning based on random neighbourhood resampling for image denoising
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Futuristic flask with convolutional neural network for removing Gaussian noise from digital images
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Multi-scale blind motion deblurring using local minimum
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A Learned Joint Depth and Intensity Prior Using Markov Random Fields
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Learning Parametric Sparse Models for Heavy Noisy Removal From Images
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Plug-and-Play Prior Based on Gaussian Mixture Model Learning for Image Restoration in Sensor Network
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Path Tracing Denoising Based on SURE Adaptive Sampling and Neural Network
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An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
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Efficient Bayesian Detection of Faint Curved Edges in Noisy Images
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Speckle reduction of SAR image through dictionary learning and point target enhancing approaches
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Single image super-resolution in compressed domain based on field of expert prior
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A regularization LR-algorithm for restoring images on Gaussian noises model
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Locally adaptive learning for translation-variant MRF image priors
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Single-image vignetting correction using radial gradient symmetry
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The patch transform and its applications to image editing
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Discriminative learned dictionaries for local image analysis
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Who killed the directed model?
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Nonlinear image representation using divisive normalization
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Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning
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Image deblurring for less intrusive iris capture
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Single-image optical center estimation from vignetting and tangential gradient symmetry
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Learning optimized MAP estimates in continuously-valued MRF models
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Understanding and evaluating blind deconvolution algorithms
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A generative perspective on MRFs in low-level vision
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A probabilistic image jigsaw puzzle solver
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A content-aware image prior
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Natural image denoising: Optimality and inherent bounds
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High-frequency shape and albedo from shading using natural image statistics
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Internal statistics of a single natural image
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Learning non-local range Markov Random field for image restoration
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Blind deconvolution using a normalized sparsity measure
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Statistics of real-world hyperspectral images
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Sparse representation for blind image quality assessment
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Learning the right model: Efficient max-margin learning in Laplacian CRFs
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Manifold guided composite of Markov random fields for image modeling
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Image denoising: Can plain neural networks compete with BM3D?
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Low level vision via switchable Markov random fields
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Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths
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On the appearance of translucent edges
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Rain Streak Removal Using Layer Priors
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Seeing Temporal Modulation of Lights from Standard Cameras
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Pushing the Boundaries of View Extrapolation With Multiplane Images
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Bringing Old Photos Back to Life
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Bringing Old Films Back to Life
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Creating and exploring a large photorealistic virtual space
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Learning Deep Image Priors for Blind Image Denoising
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Identity Enhanced Residual Image Denoising
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HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization
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Image segmentation circuit design for imitated light field image
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Deep Image Super Resolution via Natural Image Priors
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A Consensus Equilibrium Solution For Deep Image Prior Powered By Red
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Structure based noise reduction using LPA-ICI
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What are good apertures for defocus deblurring?
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Removing noise from astronomical images using a pixel-specific noise model
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Super-resolution from internet-scale scene matching
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Edge-based blur kernel estimation using patch priors
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Coded aperture pairs for depth from defocus
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Scale invariance and noise in natural images
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From learning models of natural image patches to whole image restoration
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Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
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Real Image Denoising With Feature Attention
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Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild
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Image Deconvolution with Deep Image and Kernel Priors
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Image denoising with expected patch log likelihood using eigenvectors of graph Laplacian
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High-quality non-blind motion deblurring
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Robust inter-scale non-blind image motion deblurring
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Informative sensing of natural images
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Image deconvolution using multigrid natural image prior and its applications
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Image deblur with regularized backward heat diffusion
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Single color image dehazing using sparse priors
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Image restoration via efficient Gaussian mixture model learning
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Scalable learning for restricted Boltzmann machines
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Content adaptive image superresolution with gradient consistency and anisotropic regularization
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Be natural: A saliency-guided deep framework for image quality
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Residual Dilated Network with Attention for Image Blind Denoising
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Non-Adversarial Novelty Detection with Generative Latent Nearest Neighbors
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Autoensum: Automated enhanced summary for multiple interacting objects
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Classification of Occluded Objects Using Fast Recurrent Processing
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Coded aperture techniques for catadioptric omni-directional image defocus deblurring
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Low-Light Image Deblurring Based on Simple Lens System
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Visual language processing (VLP) of ancient manuscripts: Converting collections to windows on the past
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Ann based image restoration in approach of multilayer perceptron
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The bilateral wavelet pyramid (BWP): A novel image representation
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CNN Denoising for Medical Image Based on Wavelet Domain
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An information theoretic approach to reflectional symmetry detection
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Bayesian Pan-Sharpening With Multiorder Gradient-Based Deep Network Constraints
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A Natural-Scene Gradient Distribution Prior and its Application in Light-Microscopy Image Processing
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Natural image statistics: Energy-based models estimated by score matching
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Blind image deconvolution using the Gaussian scale mixture fields of experts prior
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A gentle introduction to coded computational photography
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Applying Two-Pixel Features to Face Detection
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Deblurring Gaussian-blur images: A preprocessing for rail head surface defect detection
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Physics-Based Regularizer for Joint Soft Segmentation and Reconstruction of Electron Microscopy Images of Polycrystalline Microstructures
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Fast Edge-Aware Denoising by Approximated Patch Geodesic Paths
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Iterative Reweighted Least-Squares Gaussian Beam Migration and Velocity Inversion in the Image Domain Based on Point Spread Functions
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Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization
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Design of Interchannel MRF Model for Probabilistic Multichannel Image Processing
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Practical Bounds on Image Denoising: From Estimation to Information
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Analyzing Image Deblurring Through Three Paradigms
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Generative Bayesian Image Super Resolution With Natural Image Prior
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Nonedge-Specific Adaptive Scheme for Highly Robust Blind Motion Deblurring of Natural Imagess
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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
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Single Image Rain Streak Decomposition Using Layer Priors
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Motion Blur Kernel Estimation via Deep Learning
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Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement
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Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning
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Revisiting the Regularizers in Blind Image Deblurring With a New One
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Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images
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Probabilistic Undirected Graph Based Denoising Method for Dynamic Vision Sensor
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DBDnet: A Deep Boosting Strategy for Image Denoising
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Blind Image Quality Assessment via Deep Learning
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Data Imputation Through the Identification of Local Anomalies
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Attention-Based Real Image Restoration
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Applying Property Testing to an Image Partitioning Problem
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Understanding Blind Deconvolution Algorithms
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A Probabilistic Approach to Pattern Matching in the Continuous Domain
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Modeling Natural Images Using Gated MRFs
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Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images
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Recognition Using Hybrid Classifiers
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Learning Asymmetric and Local Features in Multi-Dimensional Data Through Wavelets With Recursive Partitioning
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