5 June 2014 Multispectral photon counting integral imaging system for color visualization of photon limited 3D scenes
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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.
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Inkyu Moon, 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); doi: 10.1117/12.2051726; https://doi.org/10.1117/12.2051726
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