Wish they applied that algorithm on the video...
Indeed. And held the camera steady. I have motion sickness now, and I'm sitting at my desk :(
Photoshop 'unblur' leaves MAX audience gasping for air
61–70 of 130 posts
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#62Earlier quoted context omitted.
Anti-intellectualism aside, they still interrupted an amazing talk without adding any value. An actor's way of dominating the stage even when it's not your turn. A bit rude and unnecessary.
I'm guessing you weren't at the talk and therefore are making some assumptions about the participants and their behavior based on the 4 minutes of video you just saw.
You're right, I was. During that four minutes, I thought he was being a bit rude and playing an unnecessary role. Better?
Honestly though, if people were enjoying them, I don't think it's any less rude. It says more to me about the anti-intellectualism mentioned earlier. Reminds me of the Diesel campaign surrounding the word "Stupid".
I don't know, I think you can nail this kind of repartee and it's funny and makes things flow - which stops the day from getting boring and stiff. But I hate it when it's not quite right. Kinda like the MC at a gig who tries to make bad jokes and ends up being super awkward.
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#63It's called blind deconvolution. Blind means that they have to first estimate the original convolution/blur kernel and in the second phase, apply the deconvolution. If there's acceleration sensor on the camera, you can use data from that for the blur kernel. It's nothing new really, but algorithms for it have advanced tremendously. For example, there's some results from 2009 http://www.youtube.com/watch?v=uqMW3OleLM4…
One key problem with deconvolution is it's very susceptible to noise. I'm guessing they developed a way to ramp up the coefficients so you see an increase in clarity while keeping the noise below visible levels. So much of image (and audio!) processing is about getting away with noise the person can't detect :) On a side note: does anybody know of workable deconvolution algorithms that vary the kernel over the image?…
The early Hubble images were fixed, maybe there's something around for those?
(http://adsabs.harvard.edu/full/1992ASPC...25..226K)
What an awful URL.
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#64It's called blind deconvolution. Blind means that they have to first estimate the original convolution/blur kernel and in the second phase, apply the deconvolution. If there's acceleration sensor on the camera, you can use data from that for the blur kernel. It's nothing new really, but algorithms for it have advanced tremendously. For example, there's some results from 2009 http://www.youtube.com/watch?v=uqMW3OleLM4…
One key problem with deconvolution is it's very susceptible to noise. I'm guessing they developed a way to ramp up the coefficients so you see an increase in clarity while keeping the noise below visible levels. So much of image (and audio!) processing is about getting away with noise the person can't detect :) On a side note: does anybody know of workable deconvolution algorithms that vary the kernel over the image?…
> So much of image (and audio!) processing is about getting away with noise the person can't detect :)
Adobe's noise processing algorithms in their software are something else, especially in ACR6/Lightroom 3.
I moved 'down' from a 5D2 to a Panasonic GF1 as I don't shoot pro anymore, and ISO1600 on this thing with a slightly-off exposure can be pretty noisy. Lightroom cleans it up incredibly well without losing clarity/sharpness. Before that, I'd just do all I could to keep the ISO down so I didn't 'lose' images to noise.
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#65It's called blind deconvolution. Blind means that they have to first estimate the original convolution/blur kernel and in the second phase, apply the deconvolution. If there's acceleration sensor on the camera, you can use data from that for the blur kernel. It's nothing new really, but algorithms for it have advanced tremendously. For example, there's some results from 2009 http://www.youtube.com/watch?v=uqMW3OleLM4…
One key problem with deconvolution is it's very susceptible to noise. I'm guessing they developed a way to ramp up the coefficients so you see an increase in clarity while keeping the noise below visible levels. So much of image (and audio!) processing is about getting away with noise the person can't detect :) On a side note: does anybody know of workable deconvolution algorithms that vary the kernel over the image?…
>> So much of image (and audio!) processing is about getting away with noise the person can't detect
For example, if you see what looks like blurry skin, and you de-blur it into skin, no-one will complain. Unless your de-blur noise elimination thinks the blurry eyes are noise, and turns the subject into a faceless monster.
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#66It's called blind deconvolution. Blind means that they have to first estimate the original convolution/blur kernel and in the second phase, apply the deconvolution. If there's acceleration sensor on the camera, you can use data from that for the blur kernel. It's nothing new really, but algorithms for it have advanced tremendously. For example, there's some results from 2009 http://www.youtube.com/watch?v=uqMW3OleLM4…
Does this algorithm lend itself to video? Probably would take a massive cloud of systems to correct any highdef video signal, but it would be impressive for many applications (news broadcast, sports, or any live event, security, or remote robots) Granted to achieve performance on the order of near realtime dsp, it would require an impressive hardware system. Then again, when I can spend the price of a coffee and get…
For a while digital camcorders has had a digital image stabilisation feature build in. It seems to work like this.
http://camcorders.about.com/od/camcorders101/a/optical_vs_di...
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#67So now we need blurring algorithms that cause actual information loss (I'm sure they already exist, but now there's suddenly a bigger market for them).
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#68ENHANCE http://www.youtube.com/watch?v=Vxq9yj2pVWk
It leaves out a couple of my favs:
Super Troopers: http://www.youtube.com/watch?v=KiqkclCJsZs
Red Dwarf: http://www.youtube.com/watch?v=KUFkb0d1kbU
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#69Now all Photoshop needs is an unCrash feature.
Re: Photoshop 'unblur' leaves MAX audience gasping for air
#70What they should do is partner with a DSLR maker and put this in the firmware of the camera itself. Imagine one button blur correction. That'd be amazing.