A real-time second-order derivative-based image interpolation

Kwang Hyun Uhm, Seung Jun Lee, Mun Cheon Kang, Sung Ho Chae, Sung Jea Ko

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

    1 Citation (Scopus)

    Abstract

    Curvature, the second-order directional derivative of an image, has been widely used for image interpolation. However, conventional curvature-based interpolation (CBI) methods employ a time-consuming post processing to reduce visual artifacts such as blurring and jagging caused by the inaccurate estimation of the local curvature. In this paper, a novel fast CBI method is proposed which can precisely estimate the local curvature using the geometric relationship between the curvatures of the low-resolution and high-resolution images. Experimental results show that the proposed method is not only robust to visual artifacts even without any post processing, but also about 40 times faster than the conventional CBI method, making it applicable to consumer electronics.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Consumer Electronics, ICCE 2016
    EditorsFrancisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages433-434
    Number of pages2
    ISBN (Electronic)9781467383646
    DOIs
    Publication statusPublished - 2016 Mar 10
    EventIEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States
    Duration: 2016 Jan 72016 Jan 11

    Publication series

    Name2016 IEEE International Conference on Consumer Electronics, ICCE 2016

    Other

    OtherIEEE International Conference on Consumer Electronics, ICCE 2016
    Country/TerritoryUnited States
    CityLas Vegas
    Period16/1/716/1/11

    Bibliographical note

    Funding Information:
    This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. B0101-15-0525, Development of global multi-target tracking and event prediction techniques based on real-time large-scale video analysis)

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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