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Complexity reduction of edge-detection based spatial interpolation

机译:基于边缘检测的空间插值的复杂度降低

摘要

The present invention relates to an efficient implementation of a directional spatial prediction. The directional spatial prediction includes detecting an edge by means of determining a vertical and a horizontal gradient within an adjacent block, determining for each pixel to be predicted an intersection of the detected edge with a boundary row or a column of pixels of the adjacent block, and extrapolating or interpolating each pixel in the block according to the determined intersection. The intersection may be a sub-pel position. In particular, the calculation of the intersection includes dividing by a vertical or a horizontal gradient to obtain an integer slope common for the entire block to be predicted. This reduces the number of divisions to one per block. In order to increase the precision of the division, a scaling by a scaling factor depending on a value of a horizontal or vertical gradient, respectively, may be applied.
机译:本发明涉及定向空间预测的有效实现。定向空间预测包括通过确定相邻块内的垂直和水平梯度来检测边缘,为要预测的每个像素确定检测到的边缘与相邻块的边界行或像素列的交集,根据确定的交点对块中的每个像素进行外插或内插。交叉点可以是亚像素位置。特别地,相交的计算包括除以垂直​​或水平梯度以获得对于要预测的整个块而言共同的整数斜率。这将分割数减少到每个块一。为了增加分割的精度,可以应用分别取决于水平或垂直梯度的值的缩放因子的缩放。

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