Lecture Restoration

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Image Restoration Lecture notes

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    Oxford University Press 2011

    Image RestorationImage Restoration

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    Image Quality Factors

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    Image Quality Assessment tool

    istograms

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    Advantages of istogram

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    Advantages of istogram

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    Image !estoration

    "egradation##

    $ %tarts from ac&uisition

    $ 'oise

    $ (lur

    $ "istortion

    $ artefacts

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    P%F and )*F +rovides Quantitative

    Information a,out effective Imaging

    system

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    -n.ancement /s restoration

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    Image Quality )etrics

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    Image Quality )etrics

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    Image "egradation model

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    )odeling Process

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    Image "egradations

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    'oise )odeling

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    Im+ulse 'oisesalt n +e++er noise,inary

    noises.ot noise

    %udden distur,ance in image signal

    Pr, in sensor or memory +ixel assigned

    incorrect values

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    'OI%- (A%-" O' orrelation

    o3variance martix

    Uncorrelated noise 3 4.ite noise

    olored noise $ +in5$ Po4er s+ecturm unli5e 4.ite noise not

    constant ,ut is +ro+ortional to reci+rocal of

    fre&uency 61f or flic5er noise7

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    'oise ,ased on 'ature

    an ,e modelled as additive or

    multi+licative

    $Additive $ image +ulse noise

    $ )ulti+licative $ %+ec5le noise +eriodic noise

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    Periodic 'oise

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    (lur and "istortions

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    !estoration in t.e +resence of

    'oise

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    Order %tatistic Filter

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    Inverse Filter

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    8iener Filter

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    8iener Filter

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    onstrained 9east %&uare Filter

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    Interactive Image !estoration

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    (lind Image !estoration

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    :eometric *ransformations

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