The quick and high quality image interpolation for single image using multi-filtering and weighted mean

Takuro Yamaguchi, Masaaki Ikehara

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    Image upsampling from one input image gathers considerable attention in the field of computer vision. The problem is ill-posed because the number of known low-resolution (LR) pixels is less than that of unknown high-resolution (HR) pixels. Therefore, quality of an upsampled image depends on prior assumptions. Image interpolation methods are one of the image upsampling technologies and are faster than other image upsampling technologies such as Super-Resolution. However, these methods tend to cause jaggies and blurs in edge and texture regions. We use the idea of Multi-surface Fitting (MF) to solve these problems. MF uses plural local functions to estimate an HR pixel and it reduces blurs. Moreover, we utilize filtering instead of calculation of each local function in order to reduce a computational cost. And we introduce new weights to estimate edge directions. By these ideas, our method has both high quality and a low computational cost.

    本文言語English
    ホスト出版物のタイトル2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
    出版社IEEE Computer Society
    ページ2841-2845
    ページ数5
    2016-August
    ISBN(電子版)9781467399616
    DOI
    出版ステータスPublished - 2016 8 3
    イベント23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
    継続期間: 2016 9 252016 9 28

    Other

    Other23rd IEEE International Conference on Image Processing, ICIP 2016
    国/地域United States
    CityPhoenix
    Period16/9/2516/9/28

    ASJC Scopus subject areas

    • ソフトウェア
    • コンピュータ ビジョンおよびパターン認識
    • 信号処理

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