You all know the CSI episodes where they read a license plate by "enhancing" some super-grainy security footage. Nonsense, right? Well, maybe not.. If the car was parked. And it seems what I found doesn't exist yet. (but perhaps I overlooked it)

If you quickly want to know what I'm on about, take a look at these images:

http://members.ziggo.nl/sinaasappel/images/1_original.jpg (original)
http://members.ziggo.nl/sinaasappel/images/2_40framewind.jpg (40f WIND)
http://members.ziggo.nl/sinaasappel/images/3_wind_hqdn3d.jpg (comparison with hqdn3d and pp=tn)

All have limited jpeg compression, but I can deliver PNG files and an XCF to experiment for yourself if desired.

So what is WIND? It's what you see if you forget/fail to do motion detection. (like I did in the images) Also, Wind Is Not a Denoiser. ;-) It's a way to increase the exposure time of the camera used to shoot a movie after it's been shot. For the images, I took a 2-second somewhat grainy clip of a building with nearly no motion. I output the frames to PNG and load them as layers in The GIMP. I set the opacity for the bottom layer to 100. The layer above that 50. (100/2) Above that 33.3. (100/3) 25, 20, 16.7 and so on. Every image with noise is "wrong", some too dark and some too light. On average, they are spot-on. The advantage: improved quality and better compression.

To make this into a proper useable filter, it would need to do this:

1. Deshake/stabilize the image.
2. Divide image in blocks. (e.g. 8x8 pixels)
3. Figure out it the average color of an 8x8 block is changing during the next X frames. If not, it's probably not moving and you can average the values. If it is or is about to, it should be averaged over fewer frames or not at all. Any area that is about to move will gradually pick up noise so it doesn't look too unnatural.
4. Reshake the image.

Will I do this myself? Maybe, but don't hold your breath. I'm just sharing this in case somebody finds it interesting and to make sure nobody can patent it. (assuming it hasn't been done already)

Best regards,

P. van Gaans
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