Abstract
Integral imaging is a promising technology for 3D imaging and display.
A number of parameters affect the performance of 3D integral imaging systems.
Improved system performance is obtained by optimization of these parameters
with respect to defined performance metrics. In this paper, we present an
approach to optimize the performance of 3D integral imaging system in terms
of performance metrics under fixed resource constraints. In this analysis,
system parameters such as lens numerical aperture, pitch between image sensors,
the number of image sensors, the pixel size, and the number of pixels are
selected to optimize performance metrics. Wave optics is utilized to describe
the imaging process.
© 2012 IEEE
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