Digital processing of images using local basis representation.

J. Oakley, M. Cunningham

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

    Abstract

    This paper introduces the Local Basis Representation (LBR) and considers the feasibility of using LBR in place of pixels in computer vision. This involves selection of a suitable LBR, and the formulation of algorithms for acquisition, linear processing and nonlinear processing of LBR images. Techniques for the various stages of image processing are discussed. In particular a direct method for producing images in LBR is presented. This uses a well-defined linear spatial filter whose characteristic depends on the LBR required. The LBR coefficients are given by the sampled output of the filter. -from Authors
    Original languageEnglish
    Title of host publicationAdvances in digital image processing. Proc. RSS 13th annual conference, Nottingham, 1987, (Remote Sensing Society, University of Nottingham)|
    Pages156-167
    Number of pages11
    Publication statusPublished - 1987
    EventAnnual Conference of the Remote Sensing Society, Remote Sensing Society - Nottingham
    Duration: 1 Jan 1824 → …

    Publication series

    NameAdvances in digital image processing

    Conference

    ConferenceAnnual Conference of the Remote Sensing Society, Remote Sensing Society
    CityNottingham
    Period1/01/24 → …

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