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Multi-Scale DCT Denoising
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-23123-0_21openalex-snapshot
Improving Denoising Algorithms via a Multi-scale Meta-procedure
inferredcites →https://doi.org/10.1016/b978-0-12-374457-9.00011-1openalex-snapshot
Multiscale Denoising of Photographic Images
inferredcites →https://doi.org/10.1017/s0962492912000062openalex-snapshot
Secrets of image denoising cuisine
inferredcites →https://doi.org/10.1023/a:1011109015675openalex-snapshot
Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model
inferredcites →https://doi.org/10.1093/biomet/81.3.425openalex-snapshot
Ideal Spatial Adaptation by Wavelet Shrinkage
inferredcites →https://doi.org/10.1109/cvpr.1999.786990openalex-snapshot
Statistics of natural images and models
inferredcites →https://doi.org/10.1109/icassp.2001.940642openalex-snapshot
Artifact free signal denoising with wavelets
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/icie.2009.228openalex-snapshot
New Image Denoising Method Based Wavelet and Curvelet Transform
inferredcites →https://doi.org/10.1109/icip.2014.7025162openalex-snapshot
Image denoising through multi-scale learnt dictionaries
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.2006.871137openalex-snapshot
The staircasing effect in neighborhood filters and its solution
inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-snapshot
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
inferredcites →https://doi.org/10.1109/tip.2015.2499698openalex-snapshot
Multi-Scale Patch-Based Image Restoration
inferredcites →https://doi.org/10.1117/12.424970openalex-snapshot
Transform domain image restoration methods: review, comparison, and interpretation
inferredcites →https://doi.org/10.1137/17m1111826openalex-snapshot
Conservative Scale Recomposition for Multiscale Denoising (The Devil is in the High Frequency Detail)
inferredcites →https://doi.org/10.1142/s0219691305000701openalex-snapshot
IMAGE DE-NOISING USING DOUBLE DENSITY WAVELET TRANSFORM BASED ADAPTIVE THRESHOLDING TECHNIQUE
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.2013.16openalex-snapshot
Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm
inferredcites →https://doi.org/10.5281/zenodo.36800openalex-snapshot
Signal And Image Denoising In Transform Domain And Wavelet Shrinkage: A Comparative Study
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-37255-0_34openalex-snapshot
3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems
inferred← citeshttps://doi.org/10.1007/978-3-319-96029-6_5openalex-snapshot
Gaussian Priors for Image Denoising
inferred← citeshttps://doi.org/10.1007/s10278-023-00899-6openalex-snapshot
An Intuitionistic Fuzzy C-Means and Local Information-Based DCT Filtering for Fast Brain MRI Segmentation
inferred← citeshttps://doi.org/10.1007/s10851-019-00921-zopenalex-snapshot
A Unified View on Patch Aggregation
inferred← citeshttps://doi.org/10.1007/s11760-023-02593-0openalex-snapshot
DCTNet: deep shrinkage denoising via DCT filterbanks
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106658openalex-snapshot
Mixed multiscale BM4D for three-dimensional optical coherence tomography denoising
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/10.1109/access.2023.3309643openalex-snapshot
Radar Complex Intermediate Frequency Signal Denoising Based on Convolutional Auto-Encoder Network
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9727309openalex-snapshot
Denoising Method for LiDAR Intensity Image via Combining Adaptive Non-local Means and Exponential Soft Thresholding
inferred← citeshttps://doi.org/10.1109/icip.2018.8451421openalex-snapshot
Non-Local Kalman: A Recursive Video Denoising Algorithm
inferred← citeshttps://doi.org/10.1109/tip.2022.3181488openalex-snapshot
DCT2net: An Interpretable Shallow CNN for Image Denoising
inferred← citeshttps://doi.org/10.1109/tip.2024.3390404openalex-snapshot
Exploring Video Denoising in Thermal Infrared Imaging: Physics-Inspired Noise Generator, Dataset, and Model
inferred← citeshttps://doi.org/10.1109/wacvw54805.2022.00080openalex-snapshot
Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement
inferred← citeshttps://doi.org/10.1515/geo-2022-0551openalex-snapshot
Modified non-local means: A novel denoising approach to process gravity field data
inferred← citeshttps://doi.org/10.48550/arxiv.2001.01802openalex-snapshot
Implementation of the VBM3D Video Denoising Method and Some Variants
inferred← citeshttps://doi.org/10.48550/arxiv.2003.11265openalex-snapshot
Multiscale Sparsifying Transform Learning for Image Denoising
inferred← citeshttps://doi.org/10.5201/ipol.2018.242openalex-snapshot
EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches
inferred← citeshttps://doi.org/10.5201/ipol.2019.263openalex-snapshot
How to Reduce Anomaly Detection in Images to Anomaly Detection in Noise
inferred← citeshttps://doi.org/10.5201/ipol.2021.340openalex-snapshot
Implementation of VBM3D and Some Variants
inferred← citeshttps://doi.org/10.70675/4b1075a0ze1d0z4573za678z199c8b60fc86openalex-snapshot
Some advances in patch-based image denoising
inferred← citeshttps://doi.org/10.70675/7fc8148dz1b54z49d1za568zbcdbb4f92754openalex-snapshot
Fast and embeddable image and video denoising
inferred← citeshttps://doi.org/10.70675/8e38560azdc15z433bza0b0zd85660fd4b73openalex-snapshot
Synthetic learning for neural image restoration methods
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