基于混合压缩光场的深度层切片优化方法

Qiyang Chen, Tao Chen, Liming Zhu, Zi Wang, G. Lv, Q. Feng
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摘要

压缩光场(CLF)是一种前景广阔的光场显示技术,由于液晶的透射率较低,传统的乘法CLF限制了层数,导致景深较小。因此,本文提出了一种混合 CLF 的三维显示结构。这种结构利用半透明和半反射镜来叠加两组乘法 CLF,每组乘法 CLF 由两个相同的液晶显示器和一个均匀的背光组成。混合式 CLF 具有更大的景深和更高的亮度,从而进一步提高了图像质量。由于混合 CLF 结构和非负张量(NTF)分解算法的特性,重建图像可能会出现分层图像串扰,从而导致图像质量下降。我们提出了一种减少混合 CLF 分层图像串扰的方法,并通过计算机模拟和光学实验验证了所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Depth layer slicing optimization method based on hybrid compressive light field
Compressive light field (CLF) is a promising light field display technology, and the traditional multiplicative CLF limits the number of layers due to the low transmittance of liquid crystals, which results in a small depth of field. Therefore, this paper proposes a three-dimensional display structure with a hybrid CLF. This structure utilizes a semi-transparent and semi-reflective mirror to superimpose two sets of multiplicative CLFs, each of which consists of two identical liquid crystal displays and a uniform backlight. The hybrid CLF has a greater depth of field and higher brightness, further improving image quality. Due to the properties of the hybrid CLF structure and the non-negative tensor (NTF) decomposition algorithm, the reconstructed image can suffer from layered image crosstalk, which leads to image quality degradation. We propose a method to reduce the hybrid CLF layered image crosstalk, and we validate the proposed method through computer simulations and optical experiments.
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