Lifting factorization based on block parallel system of m-channel perfect reconstruction filter banks

Taizo Suzuki, Masaaki Ikehara

    Research output: Contribution to journalConference article

    2 Citations (Scopus)

    Abstract

    Several lifting-based filter banks (LBFBs) are proposed for lossless-to-lossy image coding. However, the conventional methods can not achieve good coding performance due to many rounding operations, and they may have wide dynamic range of lifting coefficients due to inverse matrix. This paper presents a more practical lifting factorization of M-channel perfect reconstruction filter bank (PRFB). Using the block parallel system of PRFBs with an imposed condition, we can factorize them into a novel lifting structure which is called the parallel lifting. The validity of our structures is shown by applying them to lossless-to-lossy image coding.

    Original languageEnglish
    Pages (from-to)2245-2248
    Number of pages4
    JournalEuropean Signal Processing Conference
    Publication statusPublished - 2009 Dec 1
    Event17th European Signal Processing Conference, EUSIPCO 2009 - Glasgow, United Kingdom
    Duration: 2009 Aug 242009 Aug 28

    Keywords

    • Block parallel system
    • Lossless-to-lossy image coding
    • Parallel lifting
    • Perfect reconstruction filter bank (PRFB)

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Lifting factorization based on block parallel system of m-channel perfect reconstruction filter banks'. Together they form a unique fingerprint.

  • Cite this