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Cancellation of image crosstalk in time-sequential displays of stereoscopic video

机译:消除立体视频按时间顺序显示中的图像串扰

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Stereoscopic visualization systems based on liquid crystal shutter (LCS) eyewear and cathode-ray tube (CRT) displays provide today the best overall quality of three-dimensional (3-D) images and therefore have a dominant position in commercial as well as professional markets. Due to the CRT and LCS characteristics, however, such systems suffer from perceptual crosstalk ("shadows") at object boundaries that can reduce, and at times inhibit, the ability to perceive depth. In this paper, we propose a method to reduce such crosstalk. We present a simple model for intensity leak, we assess model parameters for a time-sequential LCS/CRT system and we propose a computationally efficient algorithm to eliminate the crosstalk. Since the full crosstalk elimination implies an unacceptable image degradation (reduction of contrast), we study the tradeoff between crosstalk elimination and image contrast. We describe experiments on synthetic and natural stereoscopic images and we discuss informal subjective viewing of processed images. Overall, the viewer response has been very positive; 3-D perception of many objects became either much easier or even effortless. Since the proposed algorithm can be easily implemented in real time (only linear scaling and table look-up are needed), we believe that it can be successfully used today in various stereoscopic applications suffering from image crosstalk. This is particularly true for PC-based 3-D viewing where the algorithm can be executed by the CPU or by an advanced graphics board.
机译:基于液晶快门(LCS)眼镜和阴极射线管(CRT)显示器的立体可视化系统可提供当今最佳的三维(3-D)图像整体质量,因此在商业和专业市场中均处于主导地位。但是,由于CRT和LCS特性,此类系统在对象边界处会遭受感知串扰(“阴影”),这可能会降低并有时会抑制感知深度的能力。在本文中,我们提出了一种减少这种串扰的方法。我们提出了一个简单的强度泄漏模型,我们评估了时序LCS / CRT系统的模型参数,并提出了一种计算效率高的算法来消除串扰。由于完全消除串扰意味着不可接受的图像质量下降(对比度降低),因此我们研究了消除串扰和图像对比度之间的折衷方案。我们描述了合成和自然立体图像的实验,并讨论了处理图像的非正式主观观察。总体而言,观众的反应非常积极。对许多物体的3D感知变得更加容易甚至轻松。由于所提出的算法可以很容易地实时实现(只需要线性缩放和查表),因此我们相信它可以成功地用于当今遭受图像串扰的各种立体应用中。对于基于PC的3-D查看尤其如此,该算法可以由CPU或高级图形卡执行。

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