Super-Resolution AR: Enhanced Image Visibility for AR Imagery

Hyemin Shin, Hanseob Kim, Dongyun Joo, Gerard Jounghyun Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In AR applications, there may be situations in which the visual target is not clearly visible/legible because it is too far or small. The unclear part of the imagery can be captured and magnified, but the image quality can still be problematic with the aliasing artifacts by the limited resolution. This poster proposes to apply deep learning based upscaling to enhance the low-resolution images. We developed a prototype system that can capture an image and upscale/present it to the user. The pilot study demonstrated that upscaled imagery improved image clarity, the ability to find hidden information more quickly, and user experience.

    Original languageEnglish
    Title of host publicationProceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages683-684
    Number of pages2
    ISBN (Electronic)9798350374490
    DOIs
    Publication statusPublished - 2024
    Event2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 - Orlando, United States
    Duration: 2024 Mar 162024 Mar 21

    Publication series

    NameProceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024

    Conference

    Conference2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024
    Country/TerritoryUnited States
    CityOrlando
    Period24/3/1624/3/21

    Bibliographical note

    Publisher Copyright:
    © 2024 IEEE.

    Keywords

    • Augmented Reality
    • Human-computer interaction
    • Super-resolution

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Media Technology
    • Modelling and Simulation

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