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Recursive model-based image restoration

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    SYSNO ASEP0410386
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleRecursive model-based image restoration
    Author(s) Haindl, Michal (UTIA-B) RID, ORCID
    Issue dataLos Alamitos: IEEE Computer Society, 2000
    ISBN0-7695-0750-6
    Source TitleProceedings of the 15th IAPR International Conference on Pattern Recognition / Sanfeliu A. ; Villanueva J. J. ; Vanrell M. ; T. Huang
    Pagess. 346-349
    Number of pages4 s.
    ActionIAPR International Conference on Pattern Recognition /15./
    Event date03.09.2000-07.09.2000
    VEvent locationBarcelona
    CountryES - Spain
    Languageeng - English
    CountryUS - United States
    Subject RIVBD - Theory of Information
    R&D ProjectsGA106/00/1715 GA ČR - Czech Science Foundation (CSF)
    GA102/00/0030 GA ČR - Czech Science Foundation (CSF)
    CEZ1075907
    AnnotationThis 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.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1