Computer simulation of diffractive imaging lenses using hyperspectral images

IF 1.1 Q4 OPTICS
S.I. Kharitonov, V.A. Fursov
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引用次数: 0

Abstract

We offer a computer technology for modeling a process of optical imaging with a diffractive imaging lens. The central idea of the technology is to evaluate the quality of the optical system by matching the input and output images against criteria adopted in image processing. For this purpose, same-resolution hyperspectral images are fed to the input and generated at the output. Thanks to the large number of spectral components, a fairly accurate reproduction of the effects associated with the dependence of the refractive index on the wavelength is ensured. To compare input and output images in terms of PSNR (peak signal-to-noise ratio), standard three-component RGB images are "assembled" using standard matching functions over the entire optical range. Results of the study of the dependence of the PSNR indicator on the main parameters of the optical system are given: focal length, linear aperture and the number of diffraction orders taken into account.
使用高光谱图像的衍射成像透镜的计算机模拟
我们提供了一种用衍射成像透镜模拟光学成像过程的计算机技术。该技术的核心思想是通过将输入和输出图像与图像处理中采用的标准相匹配来评估光学系统的质量。为此目的,将相同分辨率的高光谱图像馈送到输入端并在输出端生成。由于大量的光谱成分,相当准确地再现了与折射率对波长的依赖有关的效应。为了在PSNR(峰值信噪比)方面比较输入和输出图像,在整个光学范围内使用标准匹配函数“组装”标准三分量RGB图像。给出了PSNR指示器与光学系统主要参数:焦距、线孔径和考虑衍射阶数的关系的研究结果。
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来源期刊
Computer Optics
Computer Optics OPTICS-
CiteScore
4.20
自引率
10.00%
发文量
73
审稿时长
9 weeks
期刊介绍: The journal is intended for researchers and specialists active in the following research areas: Diffractive Optics; Information Optical Technology; Nanophotonics and Optics of Nanostructures; Image Analysis & Understanding; Information Coding & Security; Earth Remote Sensing Technologies; Hyperspectral Data Analysis; Numerical Methods for Optics and Image Processing; Intelligent Video Analysis. The journal "Computer Optics" has been published since 1987. Published 6 issues per year.
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