On the public citation graph

Analysis and Extension of the PCA Method, Estimating a Noise Curve from a Single Image

0 signed · 41 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1006/cgip.1993.1022openalex-snapshot
Estimation of Noise in Images: An Evaluation
inferredcites →https://doi.org/10.1006/cviu.1996.0060openalex-snapshot
Fast Noise Variance Estimation
inferredcites →https://doi.org/10.1016/s0146-664x(81)80018-4openalex-snapshot
Refined filtering of image noise using local statistics
inferredcites →https://doi.org/10.1016/s0734-189x(85)80078-5openalex-snapshot
Adaptive filters for digital image noise smoothing: An evaluation
inferredcites →https://doi.org/10.1017/s0962492912000062openalex-snapshot
Secrets of image denoising cuisine
inferredcites →https://doi.org/10.1049/ip-vis:19990238openalex-snapshot
Estimation of image noise variance
inferredcites →https://doi.org/10.1090/s0025-5718-1965-0178586-1openalex-snapshot
An Algorithm for the Machine Calculation of Complex Fourier Series
inferredcites →https://doi.org/10.1093/biomet/35.3-4.246openalex-snapshot
THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
inferredcites →https://doi.org/10.1109/34.44408openalex-snapshot
A fast parallel algorithm for blind estimation of noise variance
inferredcites →https://doi.org/10.1109/igarss.1989.579061openalex-snapshot
Noise Modeling and Estimation of Remotely-Sensed Images
inferredcites →https://doi.org/10.1109/igarss.2007.4422833openalex-snapshot
An automatic approach to lossy compression of AVIRIS images
inferredcites →https://doi.org/10.1109/jsen.2007.904864openalex-snapshot
Noise Measurement for Raw-Data of Digital Imaging Sensors by Automatic Segmentation of Nonuniform Targets
inferredcites →https://doi.org/10.1109/lnla.2009.5278404openalex-snapshot
Noise variance estimation in nonlocal transform domain
inferredcites →https://doi.org/10.1109/lnla.2009.5278408openalex-snapshot
A note on multi-image denoising
inferredcites →https://doi.org/10.1109/tip.2005.857276openalex-snapshot
Robust estimation approach for blind denoising
inferredcites →https://doi.org/10.1109/tip.2008.2001399openalex-snapshot
Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data
inferredcites →https://doi.org/10.1109/tip.2010.2056693openalex-snapshot
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
inferredcites →https://doi.org/10.1109/tip.2012.2221728openalex-snapshot
Image Noise Level Estimation by Principal Component Analysis
inferredcites →https://doi.org/10.1117/12.477717openalex-snapshot
Blind evaluation of additive noise variance in textured images by nonlinear processing of block DCT coefficients
inferredcites →https://doi.org/10.1137/040616024openalex-snapshot
A Review of Image Denoising Algorithms, with a New One
inferredcites →https://doi.org/10.1364/josaa.31.000863openalex-snapshot
Nonparametric noise estimation method for raw images
inferredcites →https://doi.org/10.5201/ipol.2011.bcm_nlmopenalex-snapshot
Non-Local Means Denoising
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.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.2013.45openalex-snapshot
Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image
inferredcites →https://doi.org/10.5201/ipol.2013.90openalex-snapshot
Analysis and Extension of the Percentile Method, Estimating a Noise Curve from a Single Image
inferredcites →https://doi.org/10.5201/ipol.2014.86openalex-snapshot
An Analysis and Improvement of the BLS-GSM Denoising Method
inferredcites →https://doi.org/10.5244/c.25.25openalex-snapshot
Image denoising with patch based PCA: local versus global

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-319-09363-5_3openalex-snapshot
DCT-Based Color Image Denoising: Efficiency Analysis and Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-10437-9_1openalex-snapshot
Graphics Processor Unit (GPU) Accelerated Shallow Transparent Layer Detection in Optical Coherence Tomographic (OCT) Images for Real-Time Corneal Surgical Guidance
inferred← citeshttps://doi.org/10.1007/s10851-017-0742-4openalex-snapshot
Video Denoising via Empirical Bayesian Estimation of Space-Time Patches
inferred← citeshttps://doi.org/10.1016/j.cviu.2017.11.012openalex-snapshot
Blind video denoising via texture-aware noise estimation
inferred← citeshttps://doi.org/10.1016/j.media.2015.11.002openalex-snapshot
A flexible patch based approach for combined denoising and contrast enhancement of digital X-ray images
inferred← citeshttps://doi.org/10.1109/eusipco.2016.7760213openalex-snapshot
Automatic estimation of the noise level function for adaptive blind denoising
inferred← citeshttps://doi.org/10.1109/tip.2015.2438537openalex-snapshot
Nonparametric Multiscale Blind Estimation of Intensity-Frequency-Dependent Noise
inferred← citeshttps://doi.org/10.1109/tqe.2023.3255743openalex-snapshot
On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
inferred← citeshttps://doi.org/10.1137/15m1012682openalex-snapshot
Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions
inferred← citeshttps://doi.org/10.3390/s24010168openalex-snapshot
A Robust Noise Estimation Algorithm Based on Redundant Prediction and Local Statistics
inferred← citeshttps://doi.org/10.4236/jamp.2024.125115openalex-snapshot
Objective Model Selection in Physics: Exploring the Finite Information Quantity Approach
inferred← citeshttps://doi.org/10.70675/ae0aae99z25b1z41b9zb2d4zbdf26a77fee6openalex-snapshot
Automatic noise-based detection of splicing in digital images
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.