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Accurate and fast autofocusing in off-axis digital holography based on step reduction search and particle swarm optimization.

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Title: Accurate and fast autofocusing in off-axis digital holography based on step reduction search and particle swarm optimization.
Authors: Guan, Ying1 (AUTHOR), Cui, Ze1 (AUTHOR) cuize0421@126.com, Zhu, Jingyuan1 (AUTHOR), Zhou, Wenjing1 (AUTHOR) lazybee@shu.edu.cn
Source: Optics & Lasers in Engineering. Oct2024, Vol. 181, pN.PAG-N.PAG. 1p.
Subjects: Particle swarm optimization, Focal planes, Search algorithms, Size reduction of materials, Holography, Algorithms, Digital holographic microscopy
Abstract: • Accurate and fast autofocusing in off-axis digital holography based on step size reduction search and particle swarm optimization. • The proposed method can quickly reduce the original search range of the focusing plane. • The proposed method can accurately detect the focusing plane. • The proposed method significantly improves the focusing plane detection accuracy and computational efficiency for both amplitude and phase objects compared with conventional autofocusing methods. The accurate reconstruction distance is one of the important parameters in digital holography. Typical autofocusing methods have been proposed for digital holography to determine the focusing plane. In these methods, a series of holograms at fixed-step intervals always needed to be reconstructed and then locate the focal plane by using an evaluation function, a procedure that is very time-consuming. In this paper, an accurate and fast autofocusing method for off-axis digital holograms is proposed. The method first employs the step reduction search algorithm and the integral amplitude modulus (AMP) evaluation function with low computational effort to iteratively reduce the searching range of the focal plane. Then the particle swarm optimization (PSO) algorithm and a difference-in-amplitude (DIF) evaluation function with high sensitivity are used to accurately locate the focal plane. Numerical and experimental results show that the proposed method significantly improves the focusing plane detection accuracy and computational efficiency compared with the typical autofocusing methods. [ABSTRACT FROM AUTHOR]
Copyright of Optics & Lasers in Engineering 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.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 178810854
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
  Group: Ti
  Data: Accurate and fast autofocusing in off-axis digital holography based on step reduction search and particle swarm optimization.
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  Data: <searchLink fieldCode="AR" term="%22Guan%2C+Ying%22">Guan, Ying</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Ze%22">Cui, Ze</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cuize0421@126.com</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Jingyuan%22">Zhu, Jingyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Wenjing%22">Zhou, Wenjing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lazybee@shu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Optics+%26+Lasers+in+Engineering%22">Optics & Lasers in Engineering</searchLink>. Oct2024, Vol. 181, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Focal+planes%22">Focal planes</searchLink><br /><searchLink fieldCode="DE" term="%22Search+algorithms%22">Search algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Size+reduction+of+materials%22">Size reduction of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Holography%22">Holography</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+holographic+microscopy%22">Digital holographic microscopy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Accurate and fast autofocusing in off-axis digital holography based on step size reduction search and particle swarm optimization. • The proposed method can quickly reduce the original search range of the focusing plane. • The proposed method can accurately detect the focusing plane. • The proposed method significantly improves the focusing plane detection accuracy and computational efficiency for both amplitude and phase objects compared with conventional autofocusing methods. The accurate reconstruction distance is one of the important parameters in digital holography. Typical autofocusing methods have been proposed for digital holography to determine the focusing plane. In these methods, a series of holograms at fixed-step intervals always needed to be reconstructed and then locate the focal plane by using an evaluation function, a procedure that is very time-consuming. In this paper, an accurate and fast autofocusing method for off-axis digital holograms is proposed. The method first employs the step reduction search algorithm and the integral amplitude modulus (AMP) evaluation function with low computational effort to iteratively reduce the searching range of the focal plane. Then the particle swarm optimization (PSO) algorithm and a difference-in-amplitude (DIF) evaluation function with high sensitivity are used to accurately locate the focal plane. Numerical and experimental results show that the proposed method significantly improves the focusing plane detection accuracy and computational efficiency compared with the typical autofocusing methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Optics & Lasers in Engineering 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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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.optlaseng.2024.108421
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Particle swarm optimization
        Type: general
      – SubjectFull: Focal planes
        Type: general
      – SubjectFull: Search algorithms
        Type: general
      – SubjectFull: Size reduction of materials
        Type: general
      – SubjectFull: Holography
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Digital holographic microscopy
        Type: general
    Titles:
      – TitleFull: Accurate and fast autofocusing in off-axis digital holography based on step reduction search and particle swarm optimization.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Guan, Ying
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            NameFull: Cui, Ze
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            NameFull: Zhu, Jingyuan
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            NameFull: Zhou, Wenjing
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          Dates:
            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
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              Value: 181
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            – TitleFull: Optics & Lasers in Engineering
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