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Thanks for this clarification. So it looks like my best bet would be to call raw2image() and subtract_black() to leverage libraw to do the black-level correction for me. I still would like to return the CFA data as a rows x columns matrix instead of the output of raw2image. I guess I have to add some custom logic to do the copying.

Also, it appears that raw2image() only returns the visible portion of the image. It typically has only 1 out of the 4 channels as non-zero. I am assuming this does not hold true for Fovean sensors or DNG files that are created from Sigma cameras?

Can I use the COLOR function for non-Bayer sensors? I have a DNG file that appears to be created from a Sigma camera. The output of COLOR(0, 0), COLOR(0, 1) returned 6.