Paper
28 May 2018 Hybrid digital-optical imaging design for reducing surface asphericity cost while keeping high performance
Javier Portilla, Sergio Barbero
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Javier Portilla and Sergio Barbero "Hybrid digital-optical imaging design for reducing surface asphericity cost while keeping high performance ", Proc. SPIE 10694, Computational Optics II, 1069406 (28 May 2018); https://doi.org/10.1117/12.2312660
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Signal to noise ratio

Image quality

Aspheric lenses

Image sensors

Point spread functions

Monochromatic aberrations

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