Adaptive, optimal-recovery image interpolation

D. D. Muresan, T. W. Parks

    Research output: Contribution to journalConference articlepeer-review

    16 Scopus citations

    Abstract

    We consider the problem of image interpolation using adaptive optimal recovery. We adaptively estimate the local quadratic signal class of our image pixels. We then use optimal recovery to estimate the missing local samples based on this quadratic signal class. This approach tends preserve edges, interpolating along edges and not across them.

    Original languageEnglish
    Pages (from-to)1949-1952
    Number of pages4
    JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume3
    StatePublished - 2001
    Event2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
    Duration: 7 May 200111 May 2001

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