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Recursive model-based colour image restoration

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    SYSNO ASEP0410847
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleRecursive model-based colour image restoration
    Author(s) Haindl, Michal (UTIA-B) RID, ORCID
    Issue dataBerlin: Springer, 2002
    ISBN3-540-44011-9
    Source TitleStructural, Syntactic, and Statistical Pattern Recognition. Proceedings / Caelli T. ; Amin A. ; Duin R. P. W.
    Pagess. 617-626
    SeriesLecture Notes in Computer Science.
    Series number2396
    Number of pages10 s.
    ActionJoint IAPR International Workshops SSPR 2002 and SPR 2002
    Event date06.08.2002-09.08.2002
    VEvent locationWindsor
    CountryCA - Canada
    Event typeWRD
    Languageeng - English
    CountryDE - Germany
    Keywordsrandom fields ; image restoration
    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)
    CEZAV0Z1075907 - UTIA-B
    AnnotationThis paper presents a derivation of a fast recursive filter for colour 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 to minimize restoration blurring effect. The degraded image is assumed to follow a causal simultaneous multidimensional 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