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Crosstalk in automultiscopic 3-D displays: Blessing in disguise?

机译：Aufforuliscopic 3-D展示的串扰：伪装祝福？

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Most of 3-D displays suffer from interocular crosstalk, i.e., the perception of an unintended view in addition to intended one. The resulting "ghosting" at high-contrast object boundaries is objectionable and interferes with depth perception. In automultiscopic (no glasses, multiview) displays using microlenses or parallax barrier, the effect is compounded since several unintended views may be perceived at once. However, we recently discovered that crosstalk in automultiscopic displays can be also beneficial. Since spatial multiplexing of views in order to prepare a composite image for automultiscopic viewing involves sub-sampling, prior anti-alias filtering is required. To date, anti-alias filter design has ignored the presence of crosstalk in automultiscopic displays. In this paper, we propose a simple multiplexing model that takes crosstalk into account. Using this model we derive a mathematical expression for the spectrum of single view with crosstalk, and we show that it leads to reduced spectral aliasing compared to crosstalk-free case. We then propose a new criterion for the characterization of ideal anti-alias pre-filter. In the experimental part, we describe a simple method to measure optical crosstalk between views using digital camera. We use the measured crosstalk parameters to find the ideal frequency response of anti-alias filter and we design practical digital filters approximating this response. Having applied the designed filters to a number of multiview images prior to multiplexing, we conclude that, due to their increased bandwidth, the filters lead to visibly sharper 3-D images without increasing aliasing artifacts.
机译：大多数3-D显示器患有环形串扰，即，除了预定的一个外，也是对意外的观点的看法。在高对比度对象边界处产生的“重影”是令人反感的，干扰深度感知。在Automuldopopic（无眼镜，MultiView）使用微透镜或视差屏障显示，因此效果复杂，因为可以立即感知几种意外的视图。然而，我们最近发现AutoverCopic显示器中的串扰也可以是有益的。由于视图的空间多路复用以便为AutoverIscopic观看制备复合图像涉及子采样，因此需要先前的抗校有滤波。迄今为止，抗锯齿滤波器设计忽略了自动探测显示器的串扰。在本文中，我们提出了一个简单的多路复用模型，将串扰考虑在内。使用此模型我们推导出与串扰的单个视图频谱的数学表达式，我们表明它导致与无串扰情况相比，它导致光谱混叠减少。然后，我们提出了一种新的标准，用于表征理想的抗别亚里斯预过滤器。在实验部分中，我们描述了一种使用数码相机在视图之间测量光学串扰的简单方法。我们使用测量的串扰参数来找到抗别滤波器的理想频率响应，我们设计了近似此响应的实用数字滤波器。在多路复用之前将设计的滤波器应用于多个多视图图像，我们得出结论，由于它们的带宽增加，滤波器导致明显地锐化3-D图像而不增加锯齿伪像。

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