Interpolation is a key ingredient in many imaging routines. In this note, we present a thorough evaluation of an
interpolation method based on exponential splines in tension. They are based on so-called tension parameters,
which allow for a tuning of their properties. As it turns out, these interpolants have very many nice features,
which are, however, not born out in the literature. We intend to close this gap. We present for the first time
an analytic representation of their kernel which enables one to come up with a space and frequency domain
analysis. It is shown that the exponential splines in tension, as a function of the tension parameter, bridging
the gap between linear and cubic B-Spline interpolation. For example, with a certain tension parameter, one is
able to suppress ringing artefacts in the interpolant. On the other hand, the analysis in the frequency domain
shows that one derives a superior signal reconstruction quality as known from the cubic B-Spline interpolation,
which, however, suffers from ringing artifacts. With the ability to offer a trade-off between opposing features of
interpolation methods we advocate the use of the exponential spline in tension from a practical point of view
and use the new kernel representation to qualify the trade-off.
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