Adaptive reversible data hiding in frequency domain via integer-to-integer transform

Taichi Yoshida, Yusuke Okamura, Taizo Suzuki, Masaaki Ikehara

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

    Abstract

    This paper proposes an adaptive reversible data hiding algorithm for images, which embeds significant information in frequency domain based on integer-to-integer transform. The embedding method is realized by modifying state-of-the-art one according to integer-to-integer transformed coefficients. It overcomes a problem where the conventional method often generates particular artifacts. The simulation results show that our proposed algorithm outperforms the conventional one about the visual quality of embedded images, objectively and perceptually, while keeping embedding capacity.

    Original languageEnglish
    Title of host publication2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
    Publication statusPublished - 2012 Dec 1
    Event2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 - Hollywood, CA, United States
    Duration: 2012 Dec 32012 Dec 6

    Publication series

    Name2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012

    Other

    Other2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
    CountryUnited States
    CityHollywood, CA
    Period12/12/312/12/6

    ASJC Scopus subject areas

    • Information Systems

    Cite this

    Yoshida, T., Okamura, Y., Suzuki, T., & Ikehara, M. (2012). Adaptive reversible data hiding in frequency domain via integer-to-integer transform. In 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 [6412044] (2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012).