Generalized block-lifting factorization of M-channel biorthogonal filter banks for lossy-to-lossless image coding

Taizo Suzuki, Masaaki Ikehara, Truong Q. Nguyen

    Research output: Contribution to journalArticle

    22 Citations (Scopus)

    Abstract

    Generalized block-lifting factorization of M-channel (M > 2) biorthogonal filter banks (BOFBs) for lossy-to-lossless image coding is presented in this paper. Since the proposed block-lifting structure is more general than the conventional lifting factorizations and does NOT require many restrictions such as paraunitary, number of channels, and McMillan degree in each building block unlike the conventional lifting factorizations, its coding gain is higher than that of the previous methods. Several proposed BOFBs are designed and applied to image coding. Comparing the results with conventional lossy-to-lossless image coding structures, including the 5/3- and 9/7-tap discrete wavelet transforms in JPEG 2000 and a 4 × 8 hierarchical lapped biorthogonal transform in JPEG XR, the proposed BOFBs achieve better result in both objective measure and perceptual visual quality for the images with a lot of high-frequency components.

    Original languageEnglish
    Article number6168264
    Pages (from-to)3220-3228
    Number of pages9
    JournalIEEE Transactions on Image Processing
    Volume21
    Issue number7
    DOIs
    Publication statusPublished - 2012 Jul 1

    Keywords

    • Generalized block-lifting
    • M-channel biorthogonal filter banks (BOFBs)
    • lossy-to-lossless image coding

    ASJC Scopus subject areas

    • Software
    • Computer Graphics and Computer-Aided Design

    Fingerprint Dive into the research topics of 'Generalized block-lifting factorization of M-channel biorthogonal filter banks for lossy-to-lossless image coding'. Together they form a unique fingerprint.

  • Cite this