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.

翻译：本文件介绍并评价了四个图像内插算法的加权办法。第一个办法基于圆的正常化区域,其直径等于四边形的最小侧面。第二个办法基于圆的正常化区域,其半径等于低温。第三个办法基于三角形的正常化区域,其基数和高度分别等于下限和虚拟像素长度。第四个加权方案基于圆的正常化区域,其半径等于虚拟像素长度的低温。实验显示了可辩论的算法性能和进一步研究的必要性。