On Tue, Dec 20, 2005 at 11:15:43AM +1100, Mark Heath wrote:
I'm not sure how this came about but I thought about training a
Backpropagation neural net with sample images so that it may learn what the
missing pixels looked like from the surrounding pixels.
Just FYI, you might be interested in
Andrew Stevens wrote:
For the same x2 special-case asd your algorithm there is also some very
interesting work based on ideas from some Sony researchers. Here you again
choose your weights dynamically based on context in which your new pixel
appears. However, the weight-selection function
Hi Stefan,
Nice Algorithm... it seems to fall into the class of 'median' style
non-linear filters. These are very important in the x2 upscalers used in
motion-adaptive deinterlacing in current mainstream Digital TV chips for flat
panel displays. There are quite a few variations (every firm
Michael Hanke schrieb:
Ok. Now that you have said A I would ask that you should also say B: Would
it be possible to get a copy of your filter for experimenting, ideally with
adescription of the theory behind it since you said it's non-standard.
OK, here we go...
This is a much simplified and
