Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain.

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Title: Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain.
Authors: Chen, Wen1,2 owen.chen@polyu.edu.hk
Source: Optics Communications. Nov2018, Vol. 427, p374-381. 8p.
Subjects: Optical images, Optical correlation, Three-dimensional imaging, Fourier transform spectroscopy, Random functions (Mathematics)
Abstract: In this paper, hierarchically optical double-image correlation is proposed by using 3D phase retrieval algorithm with a series of random function orders in fractional Fourier transform domain. At each hierarchical level, two grayscale input images are divided into particle-like points placed in 3D space, which are encoded into phase-only patterns using an iterative phase retrieval algorithm with a series of random function orders in fractional Fourier transform. The results illustrate that when the extracted phase-only patterns are compressed, optical double-grayscale-image correlation can be effectively conducted without the visualization of input information at each hierarchical level in 3D space. The proposed method provides a novel strategy for 3D optical security, and can effectively enhance the flexibility for the optically secured correlation in 3D space. [ABSTRACT FROM AUTHOR]
Copyright of Optics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 131146240
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  Data: Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Wen%22">Chen, Wen</searchLink><relatesTo>1,2</relatesTo><i> owen.chen@polyu.edu.hk</i>
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  Data: <searchLink fieldCode="JN" term="%22Optics+Communications%22">Optics Communications</searchLink>. Nov2018, Vol. 427, p374-381. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Optical+images%22">Optical images</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+correlation%22">Optical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Fourier+transform+spectroscopy%22">Fourier transform spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Random+functions+%28Mathematics%29%22">Random functions (Mathematics)</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: In this paper, hierarchically optical double-image correlation is proposed by using 3D phase retrieval algorithm with a series of random function orders in fractional Fourier transform domain. At each hierarchical level, two grayscale input images are divided into particle-like points placed in 3D space, which are encoded into phase-only patterns using an iterative phase retrieval algorithm with a series of random function orders in fractional Fourier transform. The results illustrate that when the extracted phase-only patterns are compressed, optical double-grayscale-image correlation can be effectively conducted without the visualization of input information at each hierarchical level in 3D space. The proposed method provides a novel strategy for 3D optical security, and can effectively enhance the flexibility for the optically secured correlation in 3D space. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Optics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.optcom.2018.06.084
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      – Code: eng
        Text: English
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      – SubjectFull: Optical images
        Type: general
      – SubjectFull: Optical correlation
        Type: general
      – SubjectFull: Three-dimensional imaging
        Type: general
      – SubjectFull: Fourier transform spectroscopy
        Type: general
      – SubjectFull: Random functions (Mathematics)
        Type: general
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      – TitleFull: Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain.
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              Text: Nov2018
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              Y: 2018
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              Value: 427
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