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Fighting the wagon-wheel effect — A new anti-aliasing method for video signal generation

机译:对抗车轮效应-一种用于视频信号生成的新抗锯齿方法

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In this paper a new method of avoiding aliasing effects in synthetically generated video is presented. In other words, aim is to remove aliasing effects that disturb visual perception of the synthetically generated image sequence by the human eye. In general, aliasing occurs if the widely known sampling theorem is not met. In the field of video applications, more often than not the limiting factor leading to these disturbing effects is the temporal sampling rate (a.k.a. "frame rate"). The standard approach known from 1-D signal processing applications, i.e. increasing the sampling rate, is effective but very hardware-expensive as it introduces additional frames that have to be processed by the underlying system. In contrast, the proposed method uses a cheap 1-D filter in space-direction to achieve the same aliasing-free result.
机译:本文提出了一种在合成视频中避免混叠效应的新方法。换句话说,目的是消除混叠效果,该混叠效果会干扰人眼对合成生成的图像序列的视觉感知。通常,如果不满足广为人知的采样定理,则会发生混叠。在视频应用领域中,导致这些干扰效应的限制因素通常是时间采样率(也称为“帧率”)。从一维信号处理应用中已知的标准方法,即增加采样率,是有效的,但是非常昂贵,因为它引入了必须由底层系统处理的附加帧。相反,所提出的方法在空间方向上使用便宜的一维滤波器来实现相同的无混叠结果。

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