I was rummaging around for an algorithm to remove impulse noise from an image (totally unrelated to video) and came across a paper that describes the subject of this post. I was really astonished at the capability of this method that requires no preprocessing parameter optimization etc. Here is a before and after - yes, the left is before and the right is after filtering (the original image - the famous Lena - had 90% noise added):
(Compression noise has been added due to the original pdf creation and my grabbing part of it)
The paper is available here (check out the other example images, too):
http://www.icgst.com/gvip/Volume6/Is...1150636003.pdf
I thought this might be of interest to the Avisynth coders etc.
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John Miller
enosoft - high performance tools for music and video
Home of the Enosoft DV Processor - Free for personal use!
Dang, this is crazy to get this result!
This is black and white though imagine with the 2 chroma channels with the cross-talk and everything ...probably not the same result but i'm with you still, someone work on an implementation.TheMaster Rules ;)
You should post this on the doom9 avisynth development board. Maybe one of the guys will want to take a stab at it.
that is just amazing
DoneOriginally Posted by Soopafresh
John Miller
enosoft - high performance tools for music and video
Home of the Enosoft DV Processor - Free for personal use!
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