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Improving accuracy by sub-pixel smoothing in FDTD
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2006
Year
Numerical AnalysisEngineeringComputational MechanicsDielectric FunctionNumerical ComputationImage AnalysisSmoothing SchemeComputational ElectromagneticsEdge DetectionSub-pixel SmoothingComputational GeometryApproximation TheoryBoundary Element MethodMethod Of Fundamental SolutionMachine VisionInverse ProblemsMedical Image ComputingImage EnhancementComputer VisionNumerical Method For Partial Differential EquationSharp Dielectric CornersFinite Element MethodBiomedical ImagingApplied PhysicsImage Denoising
Finite-difference time-domain (FDTD) methods suffer from reduced accuracy when modeling discontinuous dielectric materials, due to the inhererent discretization ("pixellization"). We show that accuracy can be significantly improved by using a sub-pixel smoothing of the dielectric function, but only if the smoothing scheme is properly designed. We develop such a scheme based on a simple criterion taken from perturbation theory, and compare it to other published FDTD smoothing methods. In addition to consistently achieving the smallest errors, our scheme is the only one that attains quadratic convergence with resolution for arbitrarily sloped interfaces. Finally, we discuss additional difficulties that arise for sharp dielectric corners.