Colorization based on piecewise autoregressive model

Yasuhiro Nakajima, Takashi Ueno, Taichi Yoshida, Masaaki Ikehara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Colorization is a technique to produce color components for grayscale images with color assigned information provided by the user. The conventional method colorizes via propagating the assignations with weights of neighborhood pixels. In this paper, we propose the colorization method based on the piecewise auto-regressive (AR) model. The proposed method calculates weights considering taking account of an image structure, and improves objective and perceptual qualities of colorized images compared with the conventional method.

    Original languageEnglish
    Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
    PublisherIEEE Computer Society
    Pages1990-1994
    Number of pages5
    ISBN (Print)9781479923908
    DOIs
    Publication statusPublished - 2013 Jan 1
    Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
    Duration: 2013 Nov 32013 Nov 6

    Publication series

    NameConference Record - Asilomar Conference on Signals, Systems and Computers
    ISSN (Print)1058-6393

    Other

    Other2013 47th Asilomar Conference on Signals, Systems and Computers
    CountryUnited States
    CityPacific Grove, CA
    Period13/11/313/11/6

    Keywords

    • Autoregressive model
    • Colorization
    • Image processing
    • Interpolation

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Networks and Communications

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  • Cite this

    Nakajima, Y., Ueno, T., Yoshida, T., & Ikehara, M. (2013). Colorization based on piecewise autoregressive model. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 1990-1994). [6810654] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810654