My first attempt at solving this was to get some raw data for pure colors at 550/660/850nm and use that to transform the BMT sensor data into G/R/NIR, but I donβt really have the setup for collecting clean calibration data and my calibration matrixes all looked pretty bad.
My current attempt is to just define some arbitrary weights to map the BMT data to G/R/NIR and thatβs been somewhat promising but progress is really slow.
Anyway this is my current rabbit hole π¬π¬ #aerochrome #foveon
The most notable issue Iβve found so far is that red LEDs, which should appear bright green, show up as orange-yellow, probably because the bottom layer is still quite sensitive to red.
Since Iβm just doing a naive mapping of the bottom layer to red, and the middle layer to green, this makes sense (yellow/orange is just green and red mixed together, which means red light triggers both the middle and bottom layers in equal-ish amounts) #aerochrome #foveon
Tried recreating #aerochrome on my full spectrum DP2 Merrill #foveon and I think I got pretty close!
Using a green/red/nir bandpass filter, along with a minus green cc30m filter to reduce greens a bit (all three foveon layers are green sensitive, so reduction is needed).
I shoot in raw and just dump each layer of sensor data to a color channel (top > blue, mid > green, bottom > red), and then adjust white balance and saturation in post. Surprisingly this kind of works!
Liminal bath
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