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A note on image restoration using C
p
and MSE
Abd Krim Seghouane
*
*
Corresponding author for this work
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Contribution to journal
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Article
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peer-review
17
Citations (Scopus)
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p
and MSE'. Together they form a unique fingerprint.
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Engineering
Closed Form
50%
Image Restoration
100%
Mean-Squared-Error
100%
Observed Image
50%
Regularization Parameter
100%
Restored Image
100%
Selection Criterion
50%
Mathematics
Closed Form
50%
Regularization
100%
Squared Error
100%
Tradeoff
50%