How to Choose Interpolation Data in Images

DOI10.1137/080716396zbMath1190.94006OpenAlexW2131626033MaRDI QIDQ5189589

Bernhard Burgeth, Dorin Bucur, Joachim Weickert, Zakaria Belhachmi

Publication date: 17 March 2010

Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/676dca96792046dcdbcf0ea8dcd178fe38a4ce03

zbMATH Keywords

image compressionimage interpolationshape analysis\(\gamma\)-convergence

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Optimization of shapes other than minimal surfaces (49Q10)

Related Items (10)

Variational methods for normal integration ⋮ Understanding image inpainting with the help of the Helmholtz equation ⋮ The polyharmonic Dirichlet problem and path counting ⋮ Partial Differential Equations for Interpolation and Compression of Surfaces ⋮ A Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression ⋮ Compensated Convexity Methods for Approximations and Interpolations of Sampled Functions in Euclidean Spaces: Applications to Contour Lines, Sparse Data, and Inpainting ⋮ Theoretical foundation of the weighted Laplace inpainting problem. ⋮ Image compression with anisotropic diffusion ⋮ On high-resolution adaptive sampling of deterministic signals ⋮ Sparse Inpainting with Smoothed Particle Hydrodynamics

This page was built for publication: How to Choose Interpolation Data in Images