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Image Restoration Lecture notes
Citation preview
5/19/2018 Lecture Restoration
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Oxford University Press 2011
Image RestorationImage Restoration
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Oxford University Press 2011
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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