Multispectral photon counting integral imaging system for color visualization of photon limited 3D scenes

Inkyu Moon

doi:10.1117/12.2051726

5 June 2014 Multispectral photon counting integral imaging system for color visualization of photon limited 3D scenes

Inkyu Moon

Proceedings Volume 9117, Three-Dimensional Imaging, Visualization, and Display 2014; 91171D (2014) https://doi.org/10.1117/12.2051726
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

This paper provides an overview of a colorful photon-counting integral imaging system using Bayer elemental images for 3D visualization of photon limited scenes. The color image sensor with a format of Bayer color filter array, i.e., a red, a green, or a blue filter in a repeating pattern, captures elemental image set of a photon limited three-dimensional (3D) scene. It is assumed that the observed photon count in each channel (red, green or blue) follows Poisson statistics. The reconstruction of 3D scene with a format of Bayer is obtained by applying computational geometrical ray back propagation algorithm and parametric maximum likelihood estimator to the photon-limited Bayer elemental images. Finally, several standard demosaicing algorithms are applied in order to convert the 3D reconstruction with a Bayer format into a RGB per pixel format. Experimental results demonstrate that the gradient corrected linear interpolation technique achieves better performance in regard with acceptable PSNR and less computational complexity.

Citation Download Citation

Inkyu Moon "Multispectral photon counting integral imaging system for color visualization of photon limited 3D scenes", Proc. SPIE 9117, Three-Dimensional Imaging, Visualization, and Display 2014, 91171D (5 June 2014); https://doi.org/10.1117/12.2051726

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