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Quantization error in regular grids: triangular pixels

机译:规则网格中的量化误差:三角形像素

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Quantization of the image plane into pixels results in the loss of the true location of features within pixels and introduces an error in any quantity computed from feature positions in the image. We derive closed-form, analytic expressions for the error distribution function, the mean absolute error (MAE), and the mean square error (MSE) due to triangular tessellation, for differentiable functions of an arbitrary number of independently quantized points, using a linear approximation of the function. These quantities are essential in examining the intrinsic sensitivity of image processing algorithms. Square and hexagonal pixels were treated in previous papers. An interesting result is that for all possible cases 0.99>D~/sub T//D~S>1.13, where D~/sub T/ and D~/sub S/ are the MAE in triangular and square tessellations.
机译:将图像平面量化为像素会导致像素内特征的真实位置丢失,并会引入根据图像中特征位置计算出的任何数量的误差。对于线性分布的任意数量的独立量化点的微分函数,我们导出了误差分布函数,平均绝对误差(MAE)和均方误差(MSE)的闭合形式的解析表达式,这些函数由三角形细分产生。函数的近似值。这些数量对于检查图像处理算法的固有灵敏度至关重要。正方形和六边形像素在以前的论文中已经处理过。一个有趣的结果是,对于所有可能的情况,0.99> D〜/ sub T // D〜S> 1.13,其中D〜/ sub T /和D〜/ sub S /是三角形和正方形镶嵌的MAE。

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