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A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Detection, Estimation, and Modulation Theory, Part I
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Geometrical Priors for Noisefree Wavelet Coefficients in Image Denoising
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Adapting to Unknown Smoothness via Wavelet Shrinkage
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Adaptive Bayesian Wavelet Shrinkage
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Singularity detection and processing with wavelets
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Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors
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Characterization of signals from multiscale edges
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A theory for multiresolution signal decomposition: the wavelet representation
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Wavelets: the mathematical background
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Wavelet-based statistical signal processing using hidden Markov models
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Wavelet-based image denoising using a Markov random field a priori model
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Spatially adaptive wavelet thresholding with context modeling for image denoising
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Bayesian tree-structured image modeling using wavelet-domain hidden Markov models
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Low-complexity image denoising based on statistical modeling of wavelet coefficients
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Noise removal via Bayesian wavelet coring
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Analysis of interscale and intrascale dependencies between image wavelet coefficients
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Modeling the joint statistics of images in the wavelet domain
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Pattern Classification and Scene Analysis
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Probability, Random Variables, and Stochastic Processes.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Wavelet image denoising based spatial noise estimation
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Noise reduction in high-ISO images using 3-D collaborative filtering and structure extraction from residual blocks
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Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising
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Wavelet-Domain Video Denoising Based on Reliability Measures
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Video Denoising Based on Inter-frame Statistical Modeling of Wavelet Coefficients
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Video Denoising Using Motion Compensated 3-D Wavelet Transform With Integrated Recursive Temporal Filtering
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Multiscale Dictionary Learning via Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing
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Low-complexity, hierarchically-adapted wavelet thresholding for image denoising
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Wavelet-Based Despeckling of SAR Images Using Gauss–Markov Random Fields
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Noise Removal From Hyperspectral Images by Multidimensional Filtering
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Interferometric SAR Phase Filtering in the Wavelet Domain Using Simultaneous Detection and Estimation
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Transform-Sensing Array Based on Wavelets
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Image denoising using scale mixtures of gaussians in the wavelet domain
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Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities
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Building robust wavelet estimators for multicomponent images using Stein's principle
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Feature-based wavelet shrinkage algorithm for image denoising
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Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising
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Image denoising using a tight frame
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Joint demosaicing and denoising
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Image denoising using total least squares
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A Fuzzy Noise Reduction Method for Color Images
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Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
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Color Reproduction From Noisy CFA Data of Single Sensor Digital Cameras
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Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids
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Bayesian Wavelet-Based Image Denoising Using the Gauss–Hermite Expansion
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Passive Error Concealment for Wavelet-Coded I-Frames With an Inhomogeneous Gauss–Markov Random Field Model
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A Discriminative Approach for Wavelet Denoising
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Dynamic Denoising of Tracking Sequences
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Optimal Denoising in Redundant Representations
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Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain
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Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures
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Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising
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Characterization of Electrophotographic Print Artifacts: Banding, Jitter, and Ghosting
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Wavelet Bayesian Network Image Denoising
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Semi-Local Scaling Exponent Estimation With Box-Penalty Constraints and Total-Variation Regularization
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A versatile wavelet domain noise filtration technique for medical imaging
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Sparse Recovery in Magnetic Resonance Imaging With a Markov Random Field Prior
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Unsupervised, information-theoretic, adaptive image filtering for image restoration
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The Estimation of Laplace Random Vectors in Additive White Gaussian Noise
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A Nonlinear Stein-Based Estimator for Multichannel Image Denoising
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Image Estimation Using Total Least Squares
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Simultaneous degradation estimation and restoration of confocal images and performance evaluation by colocalization analysis
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Noise effects and filtering in controlled light exposure microscopy
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An overview of state‐of‐the‐art image restoration in electron microscopy
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Bayes factors for edge detection from wavelet product spaces
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Wavelet-based denoising considering interscale and intrascale dependences
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Estimating hyperparameters of mixture prior using hypothesis-testing problem and its applications to Bayesian image denoising
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Image denoising by using nonseparable wavelet filters and two-dimensional principal component analysis
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Improved deadzone modeling for bivariate wavelet shrinkage-based image denoising
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Spatially adaptive denoising using mixture modeling of wavelet coefficients
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Noise reduction in video sequences using wavelet-domain and temporal filtering
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Image restoration using Gaussian scale mixtures in overcomplete oriented pyramids
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Bivariate wavelet shrinkage using alpha-stable distributions
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Wavelet domain denoising of single-band and multiband images adapted to the probability of the presence of features of interest
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Image denoising with block-matching and 3D filtering
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Signal-dependent noise characterization in Haar filterbank representation
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