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DTIC ADA242822: Principles of Interpolator Design and Evaluation
by Defense Technical Information Center
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It is shown that an error spectrum can be used to
describe the performance of any convolutional
interpolator operating on equally spaced points from an
over sampled image. The error spectrum is linear in the
image power spectrum and in an error factor that depends
on only the interpolator and the distance from the sample
points. The same form is shown to describe the
interpolation of undersampled data, in an average sense.
Simple forms are given for the error factor in either
Fourier or real space, and standard interpolators are
evaluated with them. Optimal interpolators are derived
for various model image spectra: constant, Lorentzian,
power law, and Gaussian. Practical methods of
interpolator design are devised for use with image
spectra that are known only partially or are not easily
characterized analytically.
Date Published: 2018-03-04 01:15:04
Identifier: DTIC_ADA242822
Item Size: 25983106
Language: english
Media Type: texts
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