Adaptive multiresolution Hermite-Binomial filters for image edge and texture analysis

Y.H. Gu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)

    Abstract

    A new multiresolution image analysis approach using adaptive Hermite-Binomial filters is presented in this paper. According to the local image structural and textural properties, the analysis filter kernels are made adaptive both in their scales and orders. Applications of such an adaptive filtering approach, including image texture resolution analysis, multiscaled image edge curve estimation and adaptive edge-texture-based image compression, are then presented. Simulation results on image texture resolution and edge curve estimation as well as image compression are included.
    Original languageEnglish
    Title of host publicationVisual Communications and Image Processing '94, Chicago, IL, USA
    EditorsA.K. Katsaggelos
    Place of PublicationBellingham, USA
    PublisherSPIE
    Pages748-759
    DOIs
    Publication statusPublished - 1994
    EventVisual Communications and Image Processing '94 (VCIP '94), September 25-29, 1994, Chicago, IL, USA - Chicago, IL, United States
    Duration: 25 Sep 199428 Sep 1994

    Publication series

    NameProceedings of SPIE
    Volume2308
    ISSN (Print)0277-786X

    Conference

    ConferenceVisual Communications and Image Processing '94 (VCIP '94), September 25-29, 1994, Chicago, IL, USA
    Abbreviated titleVCIP '94
    CountryUnited States
    CityChicago, IL
    Period25/09/9428/09/94

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