And the most important part is "artificially" degraded images.
That's not the way digital images usually fail, especially Jpegs. Each
byte depends on the one before while it's being read, and one bad byte
can and usually does make the all the following bytes undecipherable if
they are readable at all, the bad byte is almost always a result of a
failed copy operation or a damaged sector in the storage medium. This
seems, and since the algorithm isn't published, I can't look at it, to
know for sure, so I'm only guessing, to analyze the image as a whole
and decides what should be resharpened etc. This won't help with a bad
copy.
I will however be very good to at removing Instagram filters, so one may
admire them in all their crappy glory.
On 12/7/2017 4:43 AM, Jostein wrote:
Yes you do.
The article says nothing about saving a photographer's sorry ass. It's
only about restoring artificially degraded images. And it's not
perfect even for that.
"The research team, which included members from the University of Bern
in Switzerland, tested their algorithm by taking high-quality,
uncorrupted images, purposely introducing severe degradations, then
using the algorithm to repair the damage. In many cases, the algorithm
outperformed competitors’ techniques, very nearly returning the images
to their original state."
Jostein
Den 06.12.2017 16:00, skrev Collin Brendemuehl:
http://cmns.umd.edu/news-events/features/4035
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