How we calibrated 30+ cameras to create the biggest database of sensor behavior

Bruno Sanguinetti, Co-founder · April 24, 2019
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Sometimes our customers ask us why Dotphoton Raw supports this particular camera, but not the other. The secret behind is pretty simple: our optimization algorithms are per-sensor based. This means we only introduce cameras when the optimization quality is verified scientifically, both by machine vision and the human eye test from our team. But what is image quality guarantee anyway?

To make sure Dotphoton Raw is handling every segment of your image carefully, we have to make sure we understand its dozens of settings you could use shooting your portait or landscape. We can either
Pieace of plant to check green texture
Color checker — RGB, CMYK, greys, skin and sky tones
Ultrasmooth gray — camera noise in good light
Ultrasmooth gray — camera noise in good light
I have to keep in mind what those images are for: if my clients want to print it, I have to keep raws, if not I would delete the original archive. But then, what if they come back and ask for raws?"
Rare raw
In trying to balance quality and file size for various working settings like burst shots or high exposure camera manufacturers came up with what we would call lossy raws: think mRAW and sRAW in Canon or compressed NEF. Even worse is when they don't mention that camera settings like continuous or burst shot or long exposure can downscale your color information to 12 bits.

As Douglas A. Kerr states in his research after reverse engineering some of the precompressed photo formats with his peers:

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