A novel image coding scheme by using two-channel complex-valued filter banks

Seisuke Kyochi, Yuichi Tanaka, Masaaki Ikehara

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

    Abstract

    A novel image coding scheme by using two-channel complexvalued filter banks (CFBs) is proposed in this paper. Up to now, most of the image coding schemes have used real-valued filter banks (RFBs). In other words, there are no efficient image coding framework using CFBs since the amount of samples transformed by CFBs is twice as much as that of RFBs. However, CFBs are expected to have better frequency characteristics than RFBs, since CFBs have more design parameters than that of RFBs. Thus, if the problem is solved, CFBs could be efficient for image coding. In this paper, a new algorithm which can preserve the amount of information when CFBs are applied to image coding is introduced. It is shown that the proposed image coding scheme using CFBs is superior to conventional real-valued wavelet-based image coding.

    Original languageEnglish
    Title of host publication15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings
    Pages658-662
    Number of pages5
    Publication statusPublished - 2007 Dec 1
    Event15th European Signal Processing Conference, EUSIPCO 2007 - Poznan, Poland
    Duration: 2007 Sep 32007 Sep 7

    Publication series

    NameEuropean Signal Processing Conference
    ISSN (Print)2219-5491

    Other

    Other15th European Signal Processing Conference, EUSIPCO 2007
    CountryPoland
    CityPoznan
    Period07/9/307/9/7

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering

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