Computational aspects in local image denoising and reconstruction with correlated errors
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Publication:3104340
DOI10.1080/01966324.2010.10737784zbMath1228.62081OpenAlexW2171113980MaRDI QIDQ3104340
Deping Ye, Bin Wang, Xiao-Feng Wang
Publication date: 19 December 2011
Published in: American Journal of Mathematical and Management Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01966324.2010.10737784
Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Unnamed Item
- Consistent nonparametric regression. Discussion
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Local polynomial regression: Optimal kernels and asymptotic minimax efficiency
- Choosing a kernel regression estimator. With comments and a rejoinder by the authors
- Multivariate locally weighted least squares regression
- Nonparametric and semiparametric models.
- Smoothing methods in statistics
- Local linear regression smoothers and their minimax efficiencies
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
- Choice of bandwidth for kernel regression when residuals are correlated
- Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
- Local Regression and Likelihood
- Multivariate Bandwidth Selection for Local Linear Regression
- Statistics for Spatial Data
- A Review of Image Denoising Algorithms, with a New One
- Smoothing parameter selection methods for nonparametric regression with spatially correlated errors
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