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Recursive model-based image restoration

  1. 1.
    0410386 - UTIA-B 20000102 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
    Haindl, Michal
    Recursive model-based image restoration.
    Los Alamitos: IEEE Computer Society, 2000. ISBN 0-7695-0750-6. In: Proceedings of the 15th IAPR International Conference on Pattern Recognition. - (Sanfeliu, A.; Villanueva, J.; Vanrell, M.; T., H.), s. 346-349
    [IAPR International Conference on Pattern Recognition /15./. Barcelona (ES), 03.09.2000-07.09.2000]
    Grant CEP: GA ČR GA106/00/1715; GA ČR GA102/00/0030
    Výzkumný záměr: AV0Z1075907
    Kód oboru RIV: BD - Teorie informace

    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 non-causal point-spread function. 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.
    Trvalý link: http://hdl.handle.net/11104/0130475

     
     

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