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Edge preserving model-based image restoration

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    0410286 - UTIA-B 20000002 RIV CZ eng C - Conference Paper (international conference)
    Haindl, Michal
    Edge preserving model-based image restoration.
    Praha: Czech Pattern Recognition Society, 2000. ISBN 80-238-5215-9. In: Proceedings of the Czech Pattern Recognition Workshop 2000. - (Svoboda, T.), s. 49-54
    [Czech Pattern Recognition Workshop 2000. Peršlák (CZ), 02.02.2000-04.02.2000]
    R&D Projects: GA ČR GA102/00/0030; GA ČR GA106/00/1715
    Grant - others: Hewlett Packard(US) ISE-86L8-13
    Institutional research plan: AV0Z1075907
    Subject RIV: BD - Theory of Information

    This paper presents a derivation of a fast recursive filter for image restoration if degradation obeys a linear degradation model with the unknown possibly non-homogeneous point-spread function. Pixels in the vicinity of steep discontinuities are left unrestored tominimize restoration blurring effect.The degraded image is assumed to follow a causal simultaneous regressive model and the point-spread function is estimated using the local least-square estimate.
    Permanent Link: http://hdl.handle.net/11104/0130377

     
     

Number of the records: 1