论文标题
图像插值算法的归一化加权方案
Normalized Weighting Schemes for Image Interpolation Algorithms
论文作者
论文摘要
图像插值算法遍及许多现代图像处理和分析应用。但是，当它们的加权方案无效地产生非常不切实际的估计时，它们可能会对最终用户应用程序的性能产生负面影响。因此，在这项工作中，作者根据一些用于数字图像插值操作的几何形状引入了四个加权方案。并且，用于表达每种形状重量范围的数量是归一化面积，尤其是当区域总和超过单位平方尺寸时。引入的四个加权方案基于常规四边形，基于斜边的四半径（HR）的最小侧直径（MD），三角形区域的虚拟像素长度（AT）的虚拟像素长度以及用于圆形（AC）面积的sypotenuse基于降低的radius的虚拟像素长度。在较小的缩放比率下，基于HR方案的图像插值算法在提出的非传统图像插值算法中得分最高，为66.6％。但是，以较高的缩放比率，基于AC方案的图像插值算法在提出的非传统算法中得分最高，为66.6％，在这里，其图像插值质量通常比非传统算法和传统算法插入的图像质量通常更高或相当。
Image interpolation algorithms pervade many modern image processing and analysis applications. However, when their weighting schemes inefficiently generate very unrealistic estimates, they may negatively affect the performance of the end user applications. Therefore, in this work, the author introduced four weighting schemes based on some geometric shapes for digital image interpolation operations. And, the quantity used to express the extent of each shape weight was the normalized area, especially when the sums of areas exceeded a unit square size. The introduced four weighting schemes are based on the minimum side based diameter (MD) of a regular tetragon, hypotenuse based radius (HR), the virtual pixel length based height for the area of the triangle (AT), and the virtual pixel length for hypotenuse based radius for the area of the circle (AC). At the smaller scaling ratio, the image interpolation algorithm based on the HR scheme scored the highest at 66.6 % among non traditional image interpolation algorithms presented. But, at the higher scaling ratio, the AC scheme based image interpolation algorithm scored the highest at 66.6 % among non traditional algorithms presented and, here, its image interpolation quality was generally superior or comparable to the quality of images interpolated by both non traditional and traditional algorithms.
