On Globally Optimal Local Modeling: From Moving Least Squares to Over-parametrization

DOI10.1007/978-3-642-34141-0_17zbMath1366.94066OpenAlexW102651088MaRDI QIDQ5258563

Guy Rosman, Gilad Adiv, Shachar Shem-Tov, Alfred Marcel Bruckstein, Ron Kimmel

Publication date: 23 June 2015

Published in: Mathematics and Visualization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-34141-0_17

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for integral equations (65R32)

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Cites Work

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• Nonlinear total variation based noise removal algorithms
• Over-parameterized variational optical flow
• Nonlocal Operators with Applications to Image Processing
• Approximation of functional depending on jumps by elliptic functional via t-convergence
• Uniformly High-Order Accurate Nonoscillatory Schemes. I
• The approximation power of moving least-squares
• Deblurring and Denoising of Images by Nonlocal Functionals