Block context modeling approach for binary image coding

Hwayong Joung, Edward K. Wong, Seung P. Kim

    Research output: Contribution to journalConference article

    Abstract

    A new lossy coding method is proposed for binary images using high-order context model based on vector quantization (VQ). In the proposed approach, the context is determined based on adjacent blocks. In practice, probability distribution of all the blocks pattern is highly non-uniform. Thus, it is possible to reduce the number of contexts significantly without sacrificing compression performance. It is shown using the approach show that the compression obtained ranges from 20 to 60. It is observed that the computer generated characters have better visual quality than hand written characters. The test images are engineering drawing maps for pipelines and CCITT test images.

    Original languageEnglish (US)
    Number of pages1
    JournalData Compression Conference Proceedings
    StatePublished - Jan 1 1998
    EventProceedings of the 1998 Data Compression Conference, DCC - Snowbird, UT, USA
    Duration: Mar 30 1998Apr 1 1998

      Fingerprint

    ASJC Scopus subject areas

    • Computer Networks and Communications

    Cite this