Image interpolation based on weighting function of Gaussian

Takuro Yamaguchi, Masaaki Ikehara, Yasuhiro Nakajima

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    In this paper, we propose a new image interpolation method based on a 2-D piecewise stationary autoregressive (PAR) model. SAI, which defined PAR model, is a state-of-the-art method in image interpolation. It produces good quality restored images but has high calculation cost because of solving multiple least-square problems. Our method utilizes Gaussian function in estimating parameters instead of solving least-square problems and reduces the calculation cost. Moreover, parameters are estimated at each pixel, while they are estimated in each local window in SAI. By these improvements, the proposed method has equivalent quality to SAI with low calculation cost.

    本文言語English
    ホスト出版物のタイトルConference Record - Asilomar Conference on Signals, Systems and Computers
    出版社IEEE Computer Society
    ページ1193-1197
    ページ数5
    2016-February
    ISBN(印刷版)9781467385763
    DOI
    出版ステータスPublished - 2016 2 26
    イベント49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
    継続期間: 2015 11 82015 11 11

    Other

    Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
    国/地域United States
    CityPacific Grove
    Period15/11/815/11/11

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • 信号処理

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