Abstract
The first part of the paper describes the parameterization of the fifth-degree polynomial convolutional interpolation kernel. In this way, a two-parameter interpolation kernel is created. The second part of the paper describes an experiment in which the interpolation of some test images, using the one-parameter and the proposed two-parameter kernel, is performed. Some standard Test images, which are frequently used in digital image processing, were used in the experiment. Interpolation errors were determined using MSE. After that, the results of the experiment are presented using graphs and tables. Finally, a detailed comparative analysis, which shows the higher precision of the interpolation with the proposed two-parameter fifth-degree interpolation kernel, is presented.
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