Realization of lossless-to-lossy image coding compatible with JPEG standard by direct-lifting of DCT-IDCT

Taizo Suzuki, Masaaki Ikehara

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

    4 Citations (Scopus)

    Abstract

    A discrete cosine transform (DCT) can be easily implemented in software and hardware for the JPEG and MPEG formats. Recently, some integer DCTs (IntDCTs) for lossless-to-lossy image coding have been proposed, but they do not satisfy enough compatibility with JPEG standard. This paper proposes a realization of lossless-to-lossy image coding which has higher compatibility with it than the conventional IntDCTs. Our IntDCT is implemented by direct-lifting of DCT and inverse DCT (IDCT) and has high performance in lossless image coding compared with any IntDCT while keeping high compatibility with JPEG standard. Finally, our method is validated by its application to lossless-to-lossy image coding.

    Original languageEnglish
    Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
    Pages389-392
    Number of pages4
    DOIs
    Publication statusPublished - 2010 Dec 1
    Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
    Duration: 2010 Sep 262010 Sep 29

    Publication series

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

    Other

    Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
    CountryHong Kong
    CityHong Kong
    Period10/9/2610/9/29

    Keywords

    • Direct-lifting
    • Integer discrete cosine transform (IntDCT)
    • JPEG standard
    • Lossless-to-lossy image coding

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

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  • Cite this

    Suzuki, T., & Ikehara, M. (2010). Realization of lossless-to-lossy image coding compatible with JPEG standard by direct-lifting of DCT-IDCT. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 389-392). [5654181] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5654181