一种用于提高视图渲染质量的光场采样离散余弦模型

Ying Wei, Changjian Zhu, You Yang, Yan Liu
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引用次数: 1

摘要

人们提出了许多降低光场采样率的理论。但是这些理论仍然需要大量的样本(图像)来获得足够的几何信息。本文利用离散余弦变换域中光场的稀疏表示,提出了一种离散余弦稀疏基(DCSB)。因此,我们可以找到DCSB的零点,以减少光场的采样要求,实现无别名渲染。最后,实验结果证明了该方法在不丢失信息的情况下是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Discrete Cosine Model of Light Field Sampling for Improving Rendering Quality of Views
A number of theories have been proposed for reducing sampling rate of light field. But these theories still need a great many of samples (images) to obtain sufficient geometric information. In this paper, we utilize the sparse representation of light field in Discrete Cosine Transform domain to present a Discrete Cosine Sparse Basis (DCSB). Thus, we can find out the zeros of DCSB to reduce sampling requirement of light field for alias-free rendering. Finally, experimental results demonstrate the effectiveness of our approach without lose information.
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