Reversible non-expansive symmetric convolution for M-channel lifting based linear-phase filter banks

Taizo Suzuki, Masaaki Ikehara

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

    Abstract

    This paper presents an effective signal boundary solution in lossy-to-lossless image coding which is the unification of lossy and lossless image coding. Although M-channel filter banks (FBs) for lossy image coding have several effective signal boundary solutions, M-channel lifting based FBs (L-FBs) for lossless image coding do not have such an effective signal boundary solutions due to rounding error in each lifting step. This paper proposes reversible non-expansive symmetric convolution for M-channel lifting based linear-phase FBs (L-LPFBs) to apply lossy-to-lossless image coding. Our proposal is validated by comparing with the periodic extension in lossy-to-lossless image coding.

    Original languageEnglish
    Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
    Pages2453-2456
    Number of pages4
    DOIs
    Publication statusPublished - 2012 Dec 1
    Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
    Duration: 2012 Sep 302012 Oct 3

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    ISSN (Print)1522-4880

    Other

    Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
    CountryUnited States
    CityLake Buena Vista, FL
    Period12/9/3012/10/3

    Keywords

    • M-channel lifting based linear-phase filter bank (L-LPFB)
    • lossy-to-lossless image coding
    • reversible non-expansive symmetric convolution

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems

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  • Cite this

    Suzuki, T., & Ikehara, M. (2012). Reversible non-expansive symmetric convolution for M-channel lifting based linear-phase filter banks. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 2453-2456). [6467394] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6467394