Color image coding based on linear combination of adaptive colorspaces

Takanori Fujisawa, Masaaki Ikehara

    研究成果: Conference contribution

    抜粋

    This paper improves a colorization-based image coding using image segmentation and adaptive colorspaces. Recently, various approaches for color image coding based on colorization have been presented. These methods utilize a YCbCr colorspace and transfer the luminance component by a conventional compression method. Then, the chrominance components are approximated from the luminance component using a colorization method. Our method segments a luminance component into small segments called superpixels, and reconstructs the chrominance of each superpixel as a linear combination of its luminance. For chrominance components, we introduce an adaptive color space transform optimized for liner combination. This is because YCbCr colorspace cannot always become a good approximation of the chrominance. In addition, we introduce an automatic selection for the number of superpixel segments from a given quality factor. The simulation with standard images shows that our method performs better result than conventional coding schemes.

    元の言語English
    ホスト出版物のタイトル2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ1522-1526
    ページ数5
    ISBN(電子版)9781509041176
    DOI
    出版物ステータスPublished - 2017 6 16
    イベント2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
    継続期間: 2017 3 52017 3 9

    Other

    Other2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
    United States
    New Orleans
    期間17/3/517/3/9

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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  • これを引用

    Fujisawa, T., & Ikehara, M. (2017). Color image coding based on linear combination of adaptive colorspaces. : 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 1522-1526). [7952411] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2017.7952411