Document mode is not supported in our dcraw processing emulation (dcraw_process() call) because it makes things too complex.
Our unprocessed_raw.cpp and 4channels.cpp samples provides unprocessed raw data output (for bayer case), that is enough for most practical cases. It is also good starting point(s) for ones who want only unprocessed raw data access and do full processing.
Black subtraction: if LibRaw docs covering imgdata.color.black/imgdata.color.cblack[] is not enough, you may use LibRaw::subtract_black() source as an example. It operates with imgdata.image[] array, assuming that rawdata.raw_image[] values are already in place.
Also, LibRaw::raw2image_ex() do raw_image=>image population and black subtraction in single step.
Document mode is not supported in our dcraw processing emulation (dcraw_process() call) because it makes things too complex.
Our unprocessed_raw.cpp and 4channels.cpp samples provides unprocessed raw data output (for bayer case), that is enough for most practical cases. It is also good starting point(s) for ones who want only unprocessed raw data access and do full processing.
Black subtraction: if LibRaw docs covering imgdata.color.black/imgdata.color.cblack[] is not enough, you may use LibRaw::subtract_black() source as an example. It operates with imgdata.image[] array, assuming that rawdata.raw_image[] values are already in place.
Also, LibRaw::raw2image_ex() do raw_image=>image population and black subtraction in single step.