A statistical approach to the problem of restoring damaged and contaminated images
From MaRDI portal
Publication:955834
DOI10.1016/j.patcog.2008.06.009zbMath1159.68618OpenAlexW1969223704MaRDI QIDQ955834
Richard Glendinning, Richard G. Everitt
Publication date: 20 November 2008
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: http://centaur.reading.ac.uk/29091/6/restoring_images.pdf
Bayesian statisticssemi-parametric modeldamaged imagesEEG artefactsillumination variationsphotographs
Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)
Cites Work
- Unnamed Item
- Unnamed Item
- Extensions of compressed sensing
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Function estimation with locally adaptive dynamic models
- Semi-parametric classification of noisy curves
- Penalized discriminant analysis
- Splines from a Bayesian point of view
- Bayesian curve-fitting with free-knot splines
- Geoadditive Models
- Signal Reconstruction From Noisy Random Projections
- Spatial Smoothing of Geographically Aggregated Data, With Application to the Construction of Incidence Maps
- A Bayesian Approach to Nonparametric Bivariate Regression
- Bayesian mixture of splines for spatially adaptive nonparametric regression
- Generalized Nonlinear Modeling With Multivariate Free-Knot Regression Splines
- Robust B-spline image modeling with application to image processing
- Estimating Long-term Trends in Tropospheric Ozone Levels
- Numerical Bayesian Methods Applied to Signal Processing
- Bayesian Inference for Semiparametric Regression Using a Fourier Representation
- Stable signal recovery from incomplete and inaccurate measurements
- Bayesian semiparametric regression analysis of multicategorical time-space data
This page was built for publication: A statistical approach to the problem of restoring damaged and contaminated images