Paper
19 October 2012 Novel approach for merit function optimization in hybrid imaging system through finite impulse response method
Chuan-Chung Chang, Yung-Lin Chen, Kuang-Vu Chen, Hsiao-Yue Tsao, Chir-Weei Chang
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuan-Chung Chang, Yung-Lin Chen, Kuang-Vu Chen, Hsiao-Yue Tsao, and Chir-Weei Chang "Novel approach for merit function optimization in hybrid imaging system through finite impulse response method", Proc. SPIE 8487, Novel Optical Systems Design and Optimization XV, 84870E (19 October 2012); https://doi.org/10.1117/12.927393
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KEYWORDS
Modulation transfer functions

Point spread functions

Imaging systems

Signal to noise ratio

Image restoration

Source mask optimization

Fourier transforms

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