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A new metric for LED display brightness assessment.

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Title: A new metric for LED display brightness assessment.
Authors: Moradi, Saed1 (AUTHOR) saed.moradi@uwaterloo.ca, Lamm, Mark2 (AUTHOR), Fieguth, Paul1 (AUTHOR)
Source: Journal of the Society for Information Display. May2025, Vol. 33 Issue 5, p576-581. 6p.
Subjects: Cameras, LED displays, Pixels, Angles
Abstract: Accurate estimation and brightness‐calibration of individual LEDs in large display walls is crucial to the delivery of high‐quality content. Viewpoint angle and sampling artifacts due to pixelization are key challenges in achieving precise brightness estimation. In this work, we propose a novel metric for assessing brightness accuracy, based on the consistency of brightness estimation between two closely spaced camera viewpoints, which maintain the same angular perspective while altering the camera pixel alignment with the LED grid. Experimental results demonstrate that EBA effectively quantifies the accuracy of any method used to mitigate sampling artifacts. [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.)
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Header DbId: egs
DbLabel: Engineering Source
An: 186600892
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
  Group: Ti
  Data: A new metric for LED display brightness assessment.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Moradi%2C+Saed%22">Moradi, Saed</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> saed.moradi@uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Lamm%2C+Mark%22">Lamm, Mark</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fieguth%2C+Paul%22">Fieguth, Paul</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Society+for+Information+Display%22">Journal of the Society for Information Display</searchLink>. May2025, Vol. 33 Issue 5, p576-581. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Cameras%22">Cameras</searchLink><br /><searchLink fieldCode="DE" term="%22LED+displays%22">LED displays</searchLink><br /><searchLink fieldCode="DE" term="%22Pixels%22">Pixels</searchLink><br /><searchLink fieldCode="DE" term="%22Angles%22">Angles</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Accurate estimation and brightness‐calibration of individual LEDs in large display walls is crucial to the delivery of high‐quality content. Viewpoint angle and sampling artifacts due to pixelization are key challenges in achieving precise brightness estimation. In this work, we propose a novel metric for assessing brightness accuracy, based on the consistency of brightness estimation between two closely spaced camera viewpoints, which maintain the same angular perspective while altering the camera pixel alignment with the LED grid. Experimental results demonstrate that EBA effectively quantifies the accuracy of any method used to mitigate sampling artifacts. [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.)
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        Value: 10.1002/jsid.2077
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 576
    Subjects:
      – SubjectFull: Cameras
        Type: general
      – SubjectFull: LED displays
        Type: general
      – SubjectFull: Pixels
        Type: general
      – SubjectFull: Angles
        Type: general
    Titles:
      – TitleFull: A new metric for LED display brightness assessment.
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            NameFull: Moradi, Saed
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            NameFull: Lamm, Mark
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            NameFull: Fieguth, Paul
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 33
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            – TitleFull: Journal of the Society for Information Display
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