Publication | Closed Access
An axiomatic approach to image interpolation
340
Citations
15
References
1998
Year
EngineeringImage InterpolationCurve ModelingImage AnalysisComputational ImagingCurve FittingPossible AlgorithmsComputational GeometryApproximation TheoryGeometry ProcessingGeometric ModelingBasic AssumptionsGeometric InterpolationImage FormationMachine VisionInterpolation SpaceInverse ProblemsComputer VisionNatural SciencesPoor Dynamic Range
We discuss possible algorithms for interpolating data given in a set of curves and/or points in the plane. We propose a set of basic assumptions to be satisfied by the interpolation algorithms which lead to a set of models in terms of possibly degenerate elliptic partial differential equations. The absolute minimal Lipschitz extension model (AMLE) is singled out and studied in more detail. We show experiments suggesting a possible application, the restoration of images with poor dynamic range.
| Year | Citations | |
|---|---|---|
Page 1
Page 1