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11-07-2017, 05:05 AM   #1
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AI Turns Unrecognizable Pixelated Photos Into Crystal-Clear Images

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Remember all the times you snickered when some TV character zoomed in on a photo and said “Enhance!” turning a blurred mess into a highly detailed, razor-sharp image? Now there’s a system–an artificial intelligence-powered image-scaling program called EnhanceNet–that will make that film trope impossible to laugh at, because it’s now a technological reality.



11-07-2017, 06:43 AM   #2
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This is depressing.
11-07-2017, 07:15 AM   #3
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Unrecognisable???

Since when did unrecognisable describe something that is recognisable?
11-07-2017, 07:22 AM   #4
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Well, it works for the subset of images posted, but I think there would still be a lot more work to be done for it to work on any arbitrary image.

11-07-2017, 07:32 AM   #5
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I guess it doesn't work on blurry cat pictures.


Seriously, I think we'll be amazed at the image processing capability of this and other schemes that might be ready in five to ten years.
11-07-2017, 07:33 AM   #6
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QuoteOriginally posted by dcshooter Quote
Interestingly, if you look at the resulting images compared to the originals, they look good, but not accurate.

Look at the two columns to the right to see what I mean:



Rightmost is the original, second form right is the generated result.

On photos of non-human subjects, it might not be a big deal, but for faces, it makes them look like different people, particularly the blonde. So maybe not so useful for crime scene investigations...
Agreed, that's not in dispute from me. But things like this are what drove news agencies to ask for unaltered jpgs. The line between reality and fiction is vanishing.
11-07-2017, 10:27 PM   #7
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Well, complicated is a fact of life. While most people on earth use knife, fork or spoon for eating their lunch, and a big part of the world population is using chop-sticks and spoon, there may be a few researchers who found that eating their lunch this way is not much of a challenge, so, before eating, they attach their two hands kept back and use their tong eating directly in a bowl. One can use an AI algorithm ran on a computer farm for 24hours learning about real world texture matching, then get a crappy picture, or...buy a K1 and press the shutter and get 4.5 reality loyal detailed pictures per second.

Last edited by biz-engineer; 11-07-2017 at 10:39 PM.
11-08-2017, 03:51 AM   #8
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The thing about this is that the computer is generating reasonable replacement features for the blurred places in the images. But that's not really fine in most situations. If you are a professional photographer and somehow you took a bunch of super blurry images and then you ran them through this program, your client would probably (rightly) upset. "Those are nice photos, but they don't really look like me." The same if you're taking photos of your kids or family -- your goal is to remember them, not a weird generated computer simulacrum.

11-08-2017, 01:34 PM - 1 Like   #9
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LEft side: original image, taken with the 80 pixels camera
Right side: image after Pentax K1 algorithm, Wow!


Last edited by biz-engineer; 11-08-2017 at 01:41 PM.
11-08-2017, 02:58 PM   #10
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QuoteOriginally posted by biz-engineer Quote
LEft side: original image, taken with the 80 pixels camera
Right side: image after Pentax K1 algorithm, Wow!
LOL

Here's what worries me. The magazines and places that do sports etc are already crowdsourcing to smartphone users and others. With tech like this - they will be flooded with higher detail (not accurate) pictures and have less use for the pros. I fear the appreciation for our art will be pushed towards zero manipulation as a reaction against software like this - despite the benefits of software for improving noise and manipulating shadow detail etc.
12-09-2017, 04:02 PM   #11
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The Puzzle of the Bishop's Eye

Perhaps it could be used to solve the problem of the Bishop's Eye at Lincoln Cathedral. This is a large stained glass rose window where all the glass was removed by puritans in the 1600's and replaced in the 1700's randomly, because no-one by then knew what it should look like.

12-09-2017, 09:21 PM - 1 Like   #12
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QuoteOriginally posted by Lord Lucan Quote
Perhaps it could be used to solve the problem of the Bishop's Eye at Lincoln Cathedral. This is a large stained glass rose window where all the glass was removed by puritans in the 1600's and replaced in the 1700's randomly, because no-one by then knew what it should look like.
The K3ii replacement is rumored to include a Flux Capacitor module, so it should be able to take a photo before the puritans got to work and we can see it originally looked like.
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