View in EDS

Breaking the Under‐Display Camera's Dilemma Between Diffraction and Pixel Density Using Incoherent Pupil Synthesis.

Saved in:
Bibliographic Details
Title: Breaking the Under‐Display Camera's Dilemma Between Diffraction and Pixel Density Using Incoherent Pupil Synthesis.
Authors: Xie, Xinni1 (AUTHOR), Wang, Qimeng1 (AUTHOR), Liu, Yi1 (AUTHOR), Yang, Bo‐Ru1 (AUTHOR), Qin, Zong1 (AUTHOR) qinzong@mail.sysu.edu.cn
Source: Journal of the Society for Information Display. May2026, Vol. 34 Issue 5, p478-489. 12p.
Subjects: Optical transfer function, Pixel density measurement, Optical diffraction, Cameras, Image reconstruction
Abstract: A high pixel density, along with the resulting low aperture ratio, leads to strong diffraction and severe image degradation in under‐display cameras (UDCs). Previous studies have explored modifying pixel structure and image retrieval algorithms. However, these approaches are limited by the many zero values (i.e., gaps) in the optical transfer function (OTF), which are intrinsically caused by a periodic, low‐aperture‐ratio pupil function. This study proposes to segment the camera pupil into incoherent sub‐apertures with independently configured pixel structures. At high pixel density, though substantial gaps appear in the OTFs of the sub‐apertures, these gaps are complementarily eliminated after incoherent synthesis. As a result, by adopting a low aperture ratio of 24% and using Wiener deconvolution, retrieved images corresponding to the synthetic pupil show a clear improvement in image quality (> 0.07 in MS‐SSIM) compared with those retrieved from a classic rectangular pixel layout. UNet‐based retrieval shows a similar improvement, which also benefits from the more enriched physical information produced by the gapless OTF. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Society for Information Display is the property of Wiley-Blackwell 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
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 194048043
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Breaking the Under‐Display Camera's Dilemma Between Diffraction and Pixel Density Using Incoherent Pupil Synthesis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xie%2C+Xinni%22">Xie, Xinni</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qimeng%22">Wang, Qimeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yi%22">Liu, Yi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Bo‐Ru%22">Yang, Bo‐Ru</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qin%2C+Zong%22">Qin, Zong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> qinzong@mail.sysu.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Society+for+Information+Display%22">Journal of the Society for Information Display</searchLink>. May2026, Vol. 34 Issue 5, p478-489. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Optical+transfer+function%22">Optical transfer function</searchLink><br /><searchLink fieldCode="DE" term="%22Pixel+density+measurement%22">Pixel density measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+diffraction%22">Optical diffraction</searchLink><br /><searchLink fieldCode="DE" term="%22Cameras%22">Cameras</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A high pixel density, along with the resulting low aperture ratio, leads to strong diffraction and severe image degradation in under‐display cameras (UDCs). Previous studies have explored modifying pixel structure and image retrieval algorithms. However, these approaches are limited by the many zero values (i.e., gaps) in the optical transfer function (OTF), which are intrinsically caused by a periodic, low‐aperture‐ratio pupil function. This study proposes to segment the camera pupil into incoherent sub‐apertures with independently configured pixel structures. At high pixel density, though substantial gaps appear in the OTFs of the sub‐apertures, these gaps are complementarily eliminated after incoherent synthesis. As a result, by adopting a low aperture ratio of 24% and using Wiener deconvolution, retrieved images corresponding to the synthetic pupil show a clear improvement in image quality (> 0.07 in MS‐SSIM) compared with those retrieved from a classic rectangular pixel layout. UNet‐based retrieval shows a similar improvement, which also benefits from the more enriched physical information produced by the gapless OTF. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the Society for Information Display is the property of Wiley-Blackwell 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194048043
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/jsid.70066
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 478
    Subjects:
      – SubjectFull: Optical transfer function
        Type: general
      – SubjectFull: Pixel density measurement
        Type: general
      – SubjectFull: Optical diffraction
        Type: general
      – SubjectFull: Cameras
        Type: general
      – SubjectFull: Image reconstruction
        Type: general
    Titles:
      – TitleFull: Breaking the Under‐Display Camera's Dilemma Between Diffraction and Pixel Density Using Incoherent Pupil Synthesis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xie, Xinni
      – PersonEntity:
          Name:
            NameFull: Wang, Qimeng
      – PersonEntity:
          Name:
            NameFull: Liu, Yi
      – PersonEntity:
          Name:
            NameFull: Yang, Bo‐Ru
      – PersonEntity:
          Name:
            NameFull: Qin, Zong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10710922
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of the Society for Information Display
              Type: main
ResultId 1