Lauri Kettunen
Well-known member
Putting it in simple words sounds like their questions is: If one has a 4K bayer sensor sampling with 12Mpixels, how come one gets (3 x 12 Mpixels =) 36Mpixels color data out of it?
We know that Graeme says one gets about a 3.2K out from the Red One 4K bayer sensor. Still this 3.2K corresponds to about 22Mpixels of color data, so in this sense it's a reasonable question to ask where the additional (22 -12 =) 10Mpixels come from.
Evidently, on one hand, the guys on the video go too far when claiming the image has only a color space 4:2:0. For, as somebody said in another thread, anyone whose tried keying with a 4:2:0 image and a Red One image is able to tell RED are not 4:2:0. But, on the other hand, with no doubt, these guys are professionals and deserve to be taken seriously.
I suspect the explanation boils down to extrapolation where as in the Panavision videos they implicitly assume debayerian is strictly about interpolation. In simple words, if there was a hypothetical ideal 4K camera yielding prefect 4:4:4 images, the outcome of the 4K debayerian process image need not to be precisely one-to-one with such a hypothetical image. Instead, once both images are downconverted to 3.2K, it is enough one is not able to say the hypothetical is more right than the other.
We know that Graeme says one gets about a 3.2K out from the Red One 4K bayer sensor. Still this 3.2K corresponds to about 22Mpixels of color data, so in this sense it's a reasonable question to ask where the additional (22 -12 =) 10Mpixels come from.
Evidently, on one hand, the guys on the video go too far when claiming the image has only a color space 4:2:0. For, as somebody said in another thread, anyone whose tried keying with a 4:2:0 image and a Red One image is able to tell RED are not 4:2:0. But, on the other hand, with no doubt, these guys are professionals and deserve to be taken seriously.
I suspect the explanation boils down to extrapolation where as in the Panavision videos they implicitly assume debayerian is strictly about interpolation. In simple words, if there was a hypothetical ideal 4K camera yielding prefect 4:4:4 images, the outcome of the 4K debayerian process image need not to be precisely one-to-one with such a hypothetical image. Instead, once both images are downconverted to 3.2K, it is enough one is not able to say the hypothetical is more right than the other.