3D visualization at low light levels using multispectral photon counting integral imaging

被引：14

作者：

Moon, Inkyu ^{[1
]}

Muniraj, Inbarasan ^{[1
]}

Javidi, Bahram ^{[2
]}

机构：

[1] School of Computer Engineering, Chosun University, Dong-gu, Gwangju, 501-759, Korea, Republic of

[2] Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-2157, United States

来源：

IEEE/OSA Journal of Display Technology | 2013年 / 9卷 / 01期

关键词：

3D image acquisition - Demosaicing algorithm - Gradient-corrected - Integral imaging - Linear interpolation technique - Photon counting - Three-dimensional (3D) image - Three-dimensional (3D) objects;

D O I：

10.1109/JDT.2012.2227938

中图分类号：

学科分类号：

摘要：

Recently, three-dimensional (3D) object reconstruction using photon counting integral imaging (PCII) based on grayscale elemental images has been reported. In this paper, we present a multispectral PCII system using Bayer elemental images for multispectral visualization of photon limited 3D scenes. We measure the accuracy as well as the speed of demosaicing algorithms to estimate multispectral 3D scenes at low light levels. Experimental results demonstrate that the gradient corrected linear interpolation technique achieves better performance in terms of peak-to-SNR (PSNR) and faster computation. © 2013 IEEE.

引用

页码：51 / 55