3D Visualization at Low Light Levels Using Multispectral Photon Counting Integral Imaging

Author

Inkyu Moon ; Muniraj, I. ; Javidi, Bahram

Author_Institution

Sch. of Comput. Eng., Chosun Univ., Gwangju, South Korea

Volume

9

Issue

1

fYear

2013

fDate

Jan. 2013

Firstpage

51

Lastpage

55

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.

Keywords

Bayes methods; data visualisation; gradient methods; image reconstruction; interpolation; natural scenes; photon counting; spectral analysis; 3D object reconstruction; 3D visualization; Bayer elemental image; PSNR; demosaicing algorithm; gradient corrected linear interpolation; gray scale elemental image; multispectral 3D scene estimation; multispectral PCII system; peak-to-SNR; photon counting integral imaging; photon limited 3D scene; Image color analysis; Image processing; Image reconstruction; Interpolation; PSNR; Photonics; Three dimensional displays; 3D image acquisition; Three-dimensional (3D) image processing; integral imaging; photon counting;

fLanguage

English

Journal_Title

Display Technology, Journal of

Publisher

ieee

ISSN

1551-319X

Type

jour

DOI

10.1109/JDT.2012.2227938

Filename

6403890