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SeDDaRA
Image Gallery
Home Pictures
Sometimes
the perfect 'shot' turns out to be
not so perfect. This can result
from an imperfect camera, imperfect
conditions, or perhaps an imperfect
camera person. Either way,
blind deconvolution may be able
restore the image to its intended
clarity.
And our technique is easy to apply
and master, so give Tria Image
Processing a try.
The group shot that
you would have
liked to be in focus.
Run your mouse over the
image to reveal the restored
figure.
Caution:
Applying
deconvolution methods to images
captured on consumer-grade
digital
cameras is hit-or-miss.
JPEG compression greatly reduces
the
chances for total
restoration. In addition,
the bit depth also
truncates information about the
blur function. We
recommend that
you always save your images at
the highest quality setting, and
check
your camera viewer at the
highest magnification to check
the
quality.
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Fig1: An
RGB Image of
the USS Constellation,
taken intentionally
out-of-focus with a
digital camera, in
Baltimore's Inner Harbor.
Run
your mouse over the
image to reveal the
restored figure.
Fig 2: The image was
separated into its three
colors (Red, Green, and
Blue). Each
component was restored,
and the image was put back
together.
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Fig1: An
RGB Image,
taken
intentionally out-of-focus
with a digital camera,
of a parking
lot in Baltimore.
Run
your mouse over the
image to reveal the
restored figure.
Fig 2: The image was
separated into its three
colors (Red,
Green, and Blue). Each
component was restored, and
the image
was put back together.
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The above images were
taken by
Yuqiao Yang, Newark DE, to
demonstrate the technique.
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Fig1: This
image was
scanned from a projection
slide taken in 1959.
Run
your mouse over the
image to reveal the
restored figure.
Fig 2: The SeDDaRA algorithm
was used to remove the
blur.
However, dust particles on
the slide created some
artifacts.
Photoshop was used to
de-emphasize the dust
particles and balance the
colors.
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Index
1 Gallery Into
2 Home Pics
3 X-rays
4 1-D Signals
5 Astronomy
6 Microscope
7 Misc.
8 Ultrasound
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