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

Inkyu Moon; Inbarasan Muniraj; Bahram Javidi

doi:10.1109/JDT.2012.2227938

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

Inkyu Moon
, Inbarasan Muniraj
, Bahram Javidi

Department of Robotics and Mechatronics Engineering

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

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.

Original language	English
Article number	6403890
Pages (from-to)	51-55
Number of pages	5
Journal	IEEE/OSA Journal of Display Technology
Volume	9
Issue number	1
DOIs	https://doi.org/10.1109/JDT.2012.2227938
State	Published - Jan 2013

Keywords

3D image acquisition
Integral imaging
Photon counting
Three-dimensional (3D) image processing

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10.1109/JDT.2012.2227938

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abstract = "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.",

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AU - Muniraj, Inbarasan

AU - Javidi, Bahram

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AB - 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.

KW - 3D image acquisition

KW - Integral imaging

KW - Photon counting

KW - Three-dimensional (3D) image processing

UR - https://www.scopus.com/pages/publications/84893632267

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ER -

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

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Keywords

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