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- Elec 301 projects fall 2015
- 1-d motion image deblurring with
- Noise analysis
Noise Analysis
Normally, all element values of an image matrix fall within the interval
. However, the introduced noise reduces the
deblurring quality, resulting in some elements having values above 1 orbelow 0 in the deblurred image matrix. This effect has been compensated
in the previous part. We then compute the
of the
deblurred images with respect to the original/ground-truth and plot thePSNR values against different levels of noise, characterized by the
variances of the independent and identically distributed zero-meanGaussian random variables. The formula of
is
where
is the maximum possible pixel value of the
image and
is the mean squared error between the deblurred
image and the ground-truth image.
Questions & Answers
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Source:
OpenStax, Elec 301 projects fall 2015. OpenStax CNX. Jan 04, 2016 Download for free at https://legacy.cnx.org/content/col11950/1.1
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