Super-Resolution Based on Back-Projection of Interpolated Image

Sawiya Kiatpapan, Takuro Yamaguchi, Masaaki Ikehara

    研究成果: Conference contribution

    抄録

    Image upscaling to obtain high quality digital image is one of the active research topics as it is applicable in the consumer electronics industries. Traditional image upscaling techniques have low computational complexity and applicable for real-time processing, but reconstructed image often contains artifacts and undesirable visual effect. The relationship between image interpolation and super-resolution leads our assumption that the interpolated image can be further optimized and may be considered as a part of super-resolution algorithm. In this paper, we propose a new image super-resolution method to combine fast image interpolation with iterative back-projection. This method does not require any external pre-trained datasets and has low computation time while the quality of the reconstructed image can be measured up to the high programming complexity methods such as the dictionary and deep convolutional neural networks.

    本文言語English
    ホスト出版物のタイトルProceedings - 12th International Conference on Advanced Technologies for Communications, ATC 2019
    編集者Nguyen Canh Minh, Nguyen Van Nghia, Tran Duc Tan, Nguyen Duc Toan
    出版社IEEE Computer Society
    ページ302-307
    ページ数6
    ISBN(電子版)9781728123929
    DOI
    出版ステータスPublished - 2019 10
    イベント12th International Conference on Advanced Technologies for Communications, ATC 2019 - Hanoi, Viet Nam
    継続期間: 2019 10 172019 10 19

    出版物シリーズ

    名前International Conference on Advanced Technologies for Communications
    2019-October
    ISSN(印刷版)2162-1039
    ISSN(電子版)2162-1020

    Conference

    Conference12th International Conference on Advanced Technologies for Communications, ATC 2019
    国/地域Viet Nam
    CityHanoi
    Period19/10/1719/10/19

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • ハードウェアとアーキテクチャ
    • ソフトウェア

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