Adaptively Quadratic (AQua) image interpolation

D. Darian Muresan, Thomas W. Parks

    Research output: Contribution to journalArticlepeer-review

    112 Scopus citations

    Abstract

    Image interpolation is a key aspect of digital image processing. This paper presents a novel interpolation method based on optimal recovery and adaptively determining the quadratic signal class from the local image behavior. The advantages of the new interpolation method are the ability to interpolate directly by any factor and to model properties of the data acquisition system into the algorithm itself. Through comparisons with other algorithms it is shown that the new interpolation is not only mathematically optimal with respect to the underlying image model, but visually it is very efficient at reducing jagged edges, a place where most other interpolation algorithms fail.

    Original languageEnglish
    Pages (from-to)690-698
    Number of pages9
    JournalIEEE Transactions on Image Processing
    Volume13
    Issue number5
    DOIs
    StatePublished - May 2004

    Keywords

    • Image modeling
    • Interpolation
    • Quadratic classes

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