BRAW is actually Macro-Blocking RAW

Anyway, what real improvements in Braw has there been since the first version. I don't care if it is version 1.5 or whatever, what dues that mean, what improved?? Has so much if the stuff discussed back then been fixed up?

Thanks.

I thought the 1.5 release was just the new Player and the Adobe Premiere integration. Nothing to do with in camera.

After I applied a better de-noising method through NeatVideo based on a noise sample of the camera, the sky looked, well, neat.

But, Neat is temporal based if I recall. You're needing to apply NR in camera to make an image more easily compress-able, so it has to happen real time. I think that's the trickier part to deal with.

JB

Neat had both method space and temporal NR, but need a lots of computing power to work (in excellent way, I’m neatvideo customer from 2001),
I doubt that today it’s easy to add that kind of algorithm in a camera for real time denoise, I need 3 gpu (980ti) to have neatvideo on 4K raw file at 12 FPS ...
May be in future...


Inviato dal mio iPhone utilizzando Tapatalk

After I applied a better de-noising method through NeatVideo based on a noise sample of the camera, the sky looked, well, neat.

But, Neat is temporal based if I recall. You're needing to apply NR in camera to make an image more easily compress-able, so it has to happen real time. I think that's the trickier part to deal with.

John, NeatVideo has spatial and temporal NR.
And there are new methods by using deep video to reduce noise in real-time without using motion compensation:
https://github.com/m-tassano/fastdvdnet

and the paper: https://arxiv.org/pdf/1907.01361.pdf

With that method BMD could shoot a lot of scenes uncompressed and feed those sources into the network for training and than apply that algorithm in camera. I guess that will only be possible with a future camera with tensor cores or a similar neural network processor. But it would yield superior results.

Lol. As I keep saying, mobile or Nvidia tegra.

https://www.nvidia.com/en-us/autonomous ... d-systems/

Ambarella uses temporal noise reduction in there little cheap chips. I imagine the Sony mirrorless 7 series also use one of it's more advanced designs. They have done a lot of work for Japanese brands.

Anyway, what real improvements in Braw has there been since the first version. I don't care if it is version 1.5 or whatever, what dues that mean, what improved?? Has so much if the stuff discussed back then been fixed up?

Thanks.

I thought the 1.5 release was just the new Player and the Adobe Premiere integration. Nothing to do with in camera.

It would be hard to believe they didn't do a lot of performance improvement since the first showing.

They are changing small details, like metadata, bug fixes and API changes. Maybe they'll add a new Blackmagic Color Science version at some point. Feels like the compressor and decompressor didn't change (so blocking artifacts won't change), why would they change it ?

Processing wise, thanks for the feedback! For what it's worth, sure appreciate the here and now. Truly a great moment.

Lol. As I keep saying, mobile or Nvidia tegra.

https://www.nvidia.com/en-us/autonomous ... d-systems/

Ambarella uses temporal noise reduction in there little cheap chips. I imagine the Sony mirrorless 7 series also use one of it's more advanced designs. They have done a lot of work for Japanese brands.

Even Panasonic does and I don't want it.
It always creates ghosting and smearing artifacts with low contrast detail...

Fair enough Dennis. With poor tracking that it does that.

Re-edit. Hmm, maybe the fpga design lacks processing implementation power to do that. Let me think. Nope, nearly 3am. One way would be to determine if an object has moved, leave old noise in place in hard situations, for resolve to deal with. Instead of ghosting etc, you get noise for resolve to clean up. At least I hope that is the artifacts you mean. Maybe, resolve can be programmed to clean up the present problems you see. If only they used something like that NVIDIA system, which is set up for artificial intelligence computational video feeds, they could do it on camera, probably?