11–20 of 171 posts
Neat. If only Adobe would do away with their absurd pricing models. I'll never use an adobe product again after trying to end my subscription with them.
As a metrologist (and photographer), the difficulty with these techniques is that they can over-represent the information contained within an image; they present an image of what was "probably" there, rather than representing what was. These aren't so different from our own brains, which remember what we thought we saw, rather than the light that reached our retinas. These methods are already in extensive use (most s…
...I guess the enhance jokes were just rendered void! https://www.youtube.com/watch?v=Vxq9yj2pVWk
Hm. So I took the example image, upscaled by 200%, applied a sharpen filter (all in Paint.NET) and compared the result to the AI upscaled image. TBH, I couldn't see a difference. 2x upscaling isn't all that impressive to begin with (e.g. produce 4 pixels from 1) and can be done in fairly high quality using traditional non-learning algorithms. I'm much more impressed by 4x and 8x super-resolution. I'm really not sure…
I concur, the second surfer example - the enhanced image looks a lot like blowing up the original 2x and applying careful sharpening.
That alone makes it worthwhile, surely? No careful application required.
Neat. If only Adobe would do away with their absurd pricing models. I'll never use an adobe product again after trying to end my subscription with them.
https://www.pixelmator.com/blog/2019/12/17/all-about-the-new...
As a metrologist (and photographer), the difficulty with these techniques is that they can over-represent the information contained within an image; they present an image of what was "probably" there, rather than representing what was. These aren't so different from our own brains, which remember what we thought we saw, rather than the light that reached our retinas. These methods are already in extensive use (most s…
Would it be right to say it is an synthesis on top of a analysis? It wasn’t what was observed. For some things it might not matter, but “it looks shopped” isn’t really a positive in my book. Although the use case in the article is pretty handy, to print stuff a lot larger.
As a metrologist (and photographer), the difficulty with these techniques is that they can over-represent the information contained within an image; they present an image of what was "probably" there, rather than representing what was. These aren't so different from our own brains, which remember what we thought we saw, rather than the light that reached our retinas. These methods are already in extensive use (most s…
Thoughts?
Neat. If only Adobe would do away with their absurd pricing models. I'll never use an adobe product again after trying to end my subscription with them.