Two kinds of parametric piecewise rational interpolation kernels for image magnification
Abstract
We study the constructions of piecewise rational interpolation kernels that are supported on the interval [-2,2], and present one novel rational cubic/linear and five quartic/linear interpolation kernels. All proposed kernels are symmetric, C1 continuous, and possess certain degrees of approximation order. The proposed quartic/linear interpolation kernels include the cubic and the cubic/linear interpolation kernel as special cases. Our numerical results show that one of the quartic/linear interpolation kernels can outperform the cubic interpolation kernel in terms of PSNR, SSIM, and FSIM.
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