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Proceedings Paper

Novel approach for merit function optimization in hybrid imaging system through finite impulse response method
Author(s): Chuan-Chung Chang; Yung-Lin Chen; Kuang-Vu Chen; Hsiao-Yue Tsao; Chir-Weei Chang
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Paper Abstract

Merit function with higher efficiency is helpful for lens design, especially in hybrid imaging system. Although different merit functions have been proposed in recent years, for example, Fisher information, Hilbert space angle, mean square error (MSE) based on optical transfer function, intermediate or restored image, structure similarity, correlation or statistical properties from point spread function (PSF). But it is still an unanswered question that which merit function is best for optimization in hybrid imaging system. So, a novel approach which is based on finite impulse response of hybrid imaging system is proposed. And several merit functions, blur MSE, PSF similarity, modulation transfer function (MTF) area and volume are evaluated by present method. The results show that performance of merit function is not only affected by noise, sampling ratio. But the effect of restoration filter should be also considered. Finally, compare with PSF similarity, blur MTF in area and volume; blur MSE provide much stable results in hybrid imaging system, which means it could be an optimized merit function in hybrid imaging system.

Paper Details

Date Published: 19 October 2012
PDF: 8 pages
Proc. SPIE 8487, Novel Optical Systems Design and Optimization XV, 84870E (19 October 2012); doi: 10.1117/12.927393
Show Author Affiliations
Chuan-Chung Chang, Industrial Technology Research Institute (Taiwan)
Yung-Lin Chen, Industrial Technology Research Institute (Taiwan)
Kuang-Vu Chen, Industrial Technology Research Institute (Taiwan)
Hsiao-Yue Tsao, Industrial Technology Research Institute (Taiwan)
Chir-Weei Chang, Industrial Technology Research Institute (Taiwan)

Published in SPIE Proceedings Vol. 8487:
Novel Optical Systems Design and Optimization XV
G. Groot Gregory; Arthur J. Davis, Editor(s)

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