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.
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