论文标题
边界斜率预测的形态抗氧化法
Morphological Anti-Aliasing Method for Boundary Slope Prediction
论文作者
论文摘要
在计算机图形领域，由采样不足引起的图像像素混叠是一个长期存在的问题。研究人员一直是寻求具有高速和良好效果的抗氧化算法的目标。由于倾斜线边界的局部检测和重建缺陷，因此提出了一种形态学抗叠缩式方法。该方法使用本地线边界斜率的信息来预测和测试全局范围中线边界的终端位置，从而获得与实际边界更加一致的边界信息，并且仅在计算量的量较小的情况下获得了更准确的线性边界形状。与先前的形态抗氧化算法相比，该方法基于全球形态边界。 ，可以更准确地重建直线边界，并将其应用于反叠液计算，这可以进一步改善直线边界的颜色转变，使倾斜的直线边界具有更高的连续性，并获得更好的抗氧化效果。
Image pixel aliasing caused by insufficient sampling is a long-standing problem in the field of computer graphics. It has always been the goal of researchers to seek anti-aliasing algorithms with high speed and good effect. Due to the deficiencies in local detection and reconstruction of sloping line boundaries, a morphological anti-aliasing method for boundary slope prediction is proposed. This method uses the information of the local line boundary slope to predict and test the end positions of the line boundary in the global scope, thereby reconstructing The boundary information more consistent with the actual boundary is obtained, and a more accurate linear boundary shape is obtained with only a small increase in the amount of calculation. Compared with the previous morphological anti-aliasing algorithm, the proposed method is based on the global morphological boundary. , can reconstruct the straight line boundary more accurately, and apply it to the anti-aliasing calculation, which can further improve the color transition of the straight line boundary, make the inclined straight line boundary have higher continuity, and obtain a better anti-aliasing effect.
