设计级联do的梯度方法及其在手写体数字分类中的应用

IF 1.1 Q4 OPTICS
D.V. Soshnikov, L.L. Doskolovich, E.V. Byzov
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引用次数: 0

摘要

我们考虑了一种梯度方法来计算级联衍射光学元件(do),该元件由几个顺序放置的相位do组成。利用描述光通过级联DOE的算子的一致性,得到了误差泛函对级联DOE相函数的导数的显式表达式。我们考虑了梯度方法在若干不同入射光束聚焦到具有不同强度分布的若干域问题和图像分类问题中的应用。梯度方法的描述处理了在单一通用方法的框架内设计用于聚焦激光辐射和执行图像分类的级联do的问题。结果表明,光学分类问题与产生所需强度分布问题的区别仅在于误差泛函的形式,其导数的计算可简化为相同的一般公式。利用所提出的梯度方法,设计了用于手写体数字光学分类的单did和级联did。所得结果可应用于衍射神经网络和激光聚焦光学系统的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gradient method for designing cascaded DOEs and its application in the problem of classifying handwritten digits
We consider a gradient method for calculating cascaded diffractive optical elements (DOEs) consisting of several sequentially placed phase DOEs. Using the unitarity property of the operator describing the light propagation through the cascaded DOE, we obtained explicit expressions for the derivatives of the error functional with the respect to the phase functions of the cascaded DOE. We consider the application of the gradient method in the problem of focusing several different incident beams to several domains with different intensity distributions, and in the problem of image classification. The presented description of the gradient method treats the problems of designing cascaded DOEs for both focusing the laser radiation and performing image classification in the framework of a single general approach. It is shown that the difference of the problem of optical classification from the problem of generating required intensity distributions consists only in the form of error functionals, the calculation of the derivatives of which is reduced to the same general formula. Using the proposed gradient method, we designed single and cascaded DOEs for optical classification of handwritten digits. The obtained results may find application in the development of diffractive neural networks and optical systems for laser beam focusing.
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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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