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Proceedings Paper

Hybrid digital-optical imaging design for reducing surface asphericity cost while keeping high performance
Author(s): Javier Portilla; Sergio Barbero
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Paper Abstract

Aspheres in optical design are frequently used to achieve high optical performance in imaging applications. However, manufacturing aspheres involves serious precision and cost issues that must be considered. We show that, by applying a hybrid digital-optical design approach, the amount of the asphericity cost in a single surface may be significantly alleviated without compromising the performance. First, we compute the amount of spherical aberration depending on the optical parameters (conic constant and shape factor), and compute its corresponding point spread function (PSF). From the PSF and the spectral distribution of clean images and noise, we set a statistical observation model for estimating the expected image quality (in mean square error terms) in the image sensor and also in the digitally restored image. In addition, we use a previously proposed metric for quantifying the asphere fabrication cost, to set different cost scenarios. For each of these scenarios, we study how image quality is optimized, before and after digital restoration. Reversely, we find the optical configurations of minimal asphericity cost amongst those providing a very low aberration level. Although here we have limited our study to just on-axis, monochromatic imaging, we show in simulations how our digital-optical combined approach has a high potential for boosting the cost-effectiveness trade-off.

Paper Details

Date Published: 28 May 2018
PDF: 10 pages
Proc. SPIE 10694, Computational Optics II, 1069406 (28 May 2018); doi: 10.1117/12.2312660
Show Author Affiliations
Javier Portilla, Consejo Superior de Investigaciones Científicas (Spain)
Sergio Barbero, Consejo Superior de Investigaciones Científicas (Spain)


Published in SPIE Proceedings Vol. 10694:
Computational Optics II
Daniel G. Smith; Frank Wyrowski; Andreas Erdmann, Editor(s)

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