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New Mathematical Methodology using Sparsity

Posted: Thu Mar 04, 2010 9:08 am
by Dan
Please read the entire article. Could you use this technique to recover poorly sampled/noisy images?

http://www.wired.com/magazine/2010/02/f ... ithm/all/1

Thanks,

Dan

Posted: Thu Mar 04, 2010 12:14 pm
by NITeam
It is not very suitable for modern digital cameras, the way their hardware capture images. The software side would have some problems too, but if hardware is not suitable to use that method then it doesn't really matter. Not to say that the method is not good, it is certainly good but good in circumstances different than what we usually deal with in digital cameras and images they produce.

Vlad

Posted: Thu Mar 04, 2010 8:53 pm
by Dan
Thanks for you quick reply. After I followed up on the article cited I learned that the image must be acquired using very special hardware which ensures that the image is sampled randomly. For anyone interested in the entire technical details the following link will take you there.


(note page works w IE but not FFox)
http://content.digitalwell.washington.e ... ecture.htm

I did not have a chance to edit my note before the time you had already replied. It's comforting to confirm, in another way once again, that you guys at NeatImage are fully up to date and awfully smart :)

Thanks,

Dan

Posted: Thu Mar 04, 2010 8:57 pm
by NITeam
Thank you and yes you are certainly right, the hardware has to be special to support that method. Digital cameras work somewhat differently, so we have to use other methods with their images.

Kind regards,
Vlad

Posted: Sat Mar 12, 2016 1:36 pm
by Drazick
This method is generalized by Dictionary Learning.

To some extent, I guess you could say that Wavelets are also Dictionary based method.

So Neat Image is related to this :-).