This paper presents and evaluates four weighting schemes for image
interpolation algorithms. The first scheme is based on the normalized area of
the circle, whose diameter is equal to the minimum side of a tetragon. The
second scheme is based on the normalized area of the circle, whose radius is
equal to the hypotenuse. The third scheme is based on the normalized area of
the triangle, whose base and height are equal to the hypotenuse and virtual
pixel length, respectively. The fourth weighting scheme is based on the
normalized area of the circle, whose radius is equal to the virtual pixel
length-based hypotenuse. Experiments demonstrated debatable algorithm
performances and the need for further research.Comment: 8 pages, 14 figure
