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Journal of the Society for Information Display
Article . 2024 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Image quality characterization of near‐eye displays

Authors: Ryan Beams; Chumin Zhao; Aldo Badano;

Image quality characterization of near‐eye displays

Abstract

AbstractWe review the literature and relevant standards related to image quality characterization of medical devices using near‐eye displays (NEDs). First, we discuss the experimental considerations for NED measurements and the methods for aligning the light measuring device (LMD) to the NED. Second, we discuss measurement methods for several critical image quality characteristics, namely luminance, contrast, spatial resolution, geometrical distortion, and spatiotemporal properties including the methods' limitations. These characteristics were selected due to the importance of medical device NED applications. Finally, modeling methods for image quality of NEDs are discussed. Accurate and reproducible evaluation methods for image quality are essential for the safe and effective adoption of augmented and virtual reality NEDs into medical applications.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
hybrid