  We present a number of new piecewise-polynomial kernels for image
interpolation. The kernels are constructed by optimizing a measure of
interpolation quality based on the magnitude of anisotropic artifacts. The
kernel design process is performed symbolically using Mathematica computer
algebra system. Experimental evaluation involving 14 image quality assessment
methods demonstrates that our results compare favorably with the existing
linear interpolators.
