3. Image Interpolation
Jan Modersitzki
Abstract
Jan Modersitzki
Abstract
This chapter introduces FAIR interpolation tools. The objective is to find a function T interpolating data dataT ∈ ℝn given on a grid. More precisely, for given points xj ∈ ℝd the function T is required to satisfy the interpolation conditionT(xj)=dataT(j)forj=1,…,n.As an additional convention, it is assumed that the function T vanishes outside the domain, i.e., T(x)=0 (x) = 0 for x ∉ Ω.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This chapter introduces FAIR interpolation tools. The objective is to find a function T interpolating data dataT ∈ ℝn given on a grid. More precisely, for given points xj ∈ ℝd the function T is required to satisfy the interpolation conditionT(xj)=dataT(j)forj=1,…,n.As an additional convention, it is assumed that the function T vanishes outside the domain, i.e., T(x)=0 (x) = 0 for x ∉ Ω.
Key concepts: Interpolation (computer graphics), Bilinear interpolation, Mathematics, Section (typography), Piecewise, Spline interpolation, Stairstep interpolation, Spline (mechanical)