Colorization-based image coding based on superpixel

Shoji Sakamoto, Takanori Fujisawa, Masaaki Ikehara

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    This paper proposes a novel colorization-based color image coding method. This method segments an input image into small segments called superpixels and restores the chrominance of each superpixel as the linear transformation of its luminance. A lot of color image coding methods using colorization have been proposed, but no methods utilize a local correlation between the luminance component and the chrominance component effectively. Therefore conventional methods cannot recover the information of local variation and the output image becomes excessively smoothed. We introduce the region segmentation to suppress large fluctuations in the segmented area. This segmentation makes possible to restore the chrominance from the luminance using a linear transformation. The simulation with some standard images shows that the framework actually performs better result than the conventional algorithms based on JPEG.

    本文言語English
    ホスト出版物のタイトル2015 10th International Conference on Information, Communications and Signal Processing, ICICS 2015
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781467372183
    DOI
    出版ステータスPublished - 2016 4 26
    イベント10th International Conference on Information, Communications and Signal Processing, ICICS 2015 - Singapore, Singapore
    継続期間: 2015 12 22015 12 4

    Other

    Other10th International Conference on Information, Communications and Signal Processing, ICICS 2015
    国/地域Singapore
    CitySingapore
    Period15/12/215/12/4

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • 情報システム
    • 信号処理

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