IMAGE INTEROLATION USING OF THE FIFTH AND SEVENTH ORDER POLYNOMIAL PARAMETER KERNELS
DOI:
https://doi.org/10.35120/kij5403453sKeywords:
digital image processing, convolution, interpolation, interpolation kernel, kernel parameterAbstract
In the first part of the paper, one-parameter (1P), fifth and seventh order polynomial interpolation
convolution kernels, are described. In the second part of the paper an Experiment is described. The precision of the
image interpolation was tested. Interpolation of the Test images from the base, using interpolation kernels, were
performed. The precision of the interpolation kernels was measured using the mean squared error (MSE). Next,
optimum kernel parameter, α, were determined by minimizing MSE. After that, a comparative analysis of the
minimum MSE values, for the fifth and seventh order polynomial kernels, was performed. The results are presented
tabularly and graphically.
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