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An Analysis and Improvement of the BLS-GSM Denoising Method

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What this work says

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

inferredcites →https://doi.org/10.1016/b978-0-12-374457-9.00011-1openalex-snapshot
Multiscale Denoising of Photographic Images
inferredcites →https://doi.org/10.1016/b978-0-12-466606-1.x5000-4openalex-snapshot
A Wavelet Tour of Signal Processing
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.2011.5995309openalex-snapshot
Natural image denoising: Optimality and inherent bounds
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.2008.4711817openalex-snapshot
Image denoising using mixtures of Gaussian scale mixtures
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/tip.2007.911473openalex-snapshot
Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids
inferredcites →https://doi.org/10.1109/tip.2009.2022006openalex-snapshot
Image Denoising Using Mixtures of Projected Gaussian Scale Mixtures
inferredcites →https://doi.org/10.1109/tip.2011.2172799openalex-snapshot
Patch-Based Near-Optimal Image Denoising
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/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00989.xopenalex-snapshot
Scale Mixtures of Normal Distributions
inferredcites →https://doi.org/10.5201/ipol.2011.bcm_nlmopenalex-snapshot
Non-Local Means Denoising
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
inferredcites →https://doi.org/10.5201/ipol.2014.79openalex-snapshot
The Heeger & Bergen Pyramid Based Texture Synthesis Algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/047134608x.w8344openalex-snapshot
Image Denoising Algorithms: From Wavelet Shrinkage to Nonlocal Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-319-26561-2_61openalex-snapshot
Poisson Image Denoising Based on BLS-GSM Method
inferred← citeshttps://doi.org/10.1007/s11042-018-6396-4openalex-snapshot
I3D: a new dataset for testing denoising and demosaicing algorithms
inferred← citeshttps://doi.org/10.1016/j.patrec.2017.02.017openalex-snapshot
Dual Way Residue Noise Thresholding along with feature preservation
inferred← citeshttps://doi.org/10.1016/j.procs.2024.04.204openalex-snapshot
An Architecture-Oriented Analysis of Stacked Denoising Autoencoders
inferred← citeshttps://doi.org/10.1021/acs.biomac.7b01773openalex-snapshot
Structural Analysis of Polysaccharide Networks by Transmission Electron Microscopy: Comparison with Small-Angle X-ray Scattering
inferred← citeshttps://doi.org/10.1109/dasip.2015.7367257openalex-snapshot
BM3D image denoising using heterogeneous computing platforms
inferred← citeshttps://doi.org/10.1109/icip.2014.7025163openalex-snapshot
Non-local dual image denoising
inferred← citeshttps://doi.org/10.1109/igarss.2018.8518357openalex-snapshot
A New Optimized Denoising Method applied to the Spot World Heritage Initiative and its Spot 5 Supermode images
inferred← citeshttps://doi.org/10.1109/jstars.2018.2793537openalex-snapshot
Denoising Very High Resolution Optical Remote Sensing Images: Application and Optimization of Nonlocal Bayes method
inferred← citeshttps://doi.org/10.1109/tip.2015.2439041openalex-snapshot
Multiscale Image Blind Denoising
inferred← citeshttps://doi.org/10.1109/tip.2016.2545301openalex-snapshot
Maximally Localized Radial Profiles for Tight Steerable Wavelet Frames
inferred← citeshttps://doi.org/10.1117/12.2277705openalex-snapshot
Fast and accurate denoising method applied to very high resolution optical remote sensing images
inferred← citeshttps://doi.org/10.31237/osf.io/dbfe9openalex-snapshot
Biopolymer Networks: Image Analysis, Reconstruction and Modeling
inferred← citeshttps://doi.org/10.3390/jimaging6100103openalex-snapshot
Fusion of External and Internal Prior Information for the Removal of Gaussian Noise in Images
inferred← citeshttps://doi.org/10.5201/ipol.2013.52openalex-snapshot
The Implementation of SURE Guided Piecewise Linear Image Denoising
inferred← citeshttps://doi.org/10.5201/ipol.2014.120openalex-snapshot
Parameter-Free Fast Pixelwise Non-Local Means Denoising
inferred← citeshttps://doi.org/10.5201/ipol.2016.124openalex-snapshot
Analysis and Extension of the PCA Method, Estimating a Noise Curve from a Single Image
inferred← citeshttps://doi.org/10.5201/ipol.2017.203openalex-snapshot
Data Adaptive Dual Domain Denoising: a Method to
inferred← citeshttps://doi.org/10.70675/50e8e196z26c5z4009zb514zbcf6127a0c61openalex-snapshot
Two Bayesian learning approaches to image processing
inferred← citeshttps://doi.org/10.70675/8fe483d0z8da8z4b27z9b57z484d2a51ec01openalex-snapshot
Novel Prospects of Image Restoration Inspired by Concepts of Quantum Mechanics
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