Shin Dong-Hak, Yoo Hoon
Department of Visual Content, Dongseo University, San69-1, Jurye2-Dong,Sasang-Gu, Busan 617-716, Korea.
Appl Opt. 2009 Feb 10;48(5):827-33. doi: 10.1364/ao.48.000827.
In this paper, we propose an improved analysis on the signal property of curved computational integral imaging reconstruction (C-CIIR). In the proposed model and analysis, we explain a general analysis of computational integral imaging by introducing a curvature effect that is obtained by the additional use of a large-aperture (LA) lens. Based on the proposed signal model in C-CIIR, we analyze the characteristics of the granular noise (GN) and conduct preliminary experiments to show the feasibility of our model. Experimental results indicate that the GN caused by the nonuniform overlapping gets reduced and that the GN is diminished as the focal length of the additional LA lens used decreases in C-CIIR. Also, the proposed model and analysis are considered to be generalized versions of the signal model and analysis of the previous computational integral imaging systems.
在本文中，我们对弯曲计算积分成像重建（C-CIIR）的信号特性提出了一种改进分析。在所提出的模型和分析中，我们通过引入一种曲率效应来解释计算积分成像的一般分析，这种曲率效应是通过额外使用大孔径（LA）透镜获得的。基于C-CIIR中提出的信号模型，我们分析了颗粒噪声（GN）的特性，并进行了初步实验以证明我们模型的可行性。实验结果表明，在C-CIIR中，由不均匀重叠引起的GN会降低，并且随着所使用的额外LA透镜焦距的减小，GN也会减小。此外，所提出的模型和分析被认为是先前计算积分成像系统信号模型和分析的广义版本。
