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Estimation of signal distortion using effective sampling density for light field-based free viewpoint video

机译:基于有效场密度的基于光场的自由视点视频的信号失真估计

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摘要

In a light field-based free viewpoint video (LF-based FVV) system, effective sampling density (ESD) is defined as the number of rays per unit area of the scene that has been acquired and is selected in the rendering process for reconstructing an unknown ray. This paper extends the concept of ESD and shows that ESD is a tractable metric that quantifies the joint impact of the imperfections of LF acquisition and rendering. By deriving and analyzing ESD for the commonly used LF acquisition and rendering methods, it is shown that ESD is an effective indicator determined by system parameters and can be used to directly estimate output video distortion without access to the ground truth. This claim is verified by extensive numerical simulations and comparison to PSNR. Furthermore, an empirical relationship between the output distortion (in PSNR) and the calculated ESD is established to allow direct assessment of the overall video distortion without an actual implementation of the system. A small scale subjective user study is also conducted which indicates a correlation of 0.91 between ESD and perceived quality.
机译:在基于光场的自由视点视频(基于LF的FVV)系统中,有效采样密度(ESD)定义为在渲染过程中已获取并选择的场景每单位面积的光线数量,用于重建未知的射线。本文扩展了ESD的概念,并表明ESD是一种易于处理的度量标准,可以量化LF采集和渲染缺陷的联合影响。通过推导和分析常用的LF采集和渲染方法的ESD,可以看出ESD是由系统参数确定的有效指标,可用于直接估计输出视频失真,而无需了解地面真实情况。广泛的数值模拟和与PSNR的比较证明了这一说法。此外,建立了输出失真(以PSNR表示)与计算得出的ESD之间的经验关系,以允许直接评估整体视频失真,而无需实际实施系统。还进行了小规模的主观用户研究,该研究表明ESD与感知质量之间的相关性为0.91。

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