Hi,
can I use LibRaw for demosaicing plain RGGB data (i mean file with no metadata, just pixels stored as [R G R G R G; G B G B G B; ...]?

If I understand it correctly I need to call dcraw_process() and dcraw_make_mem_image() but I do not know how to prepare the buffer and tell the LibRaw size etc.

thanks
Jan

I've been using LibRaw for many years to grab the raw Bayer matrix out of files. It's worked like a charm and I love it. In some places, I'll have it not only load the raw data, but run its own debayers, but in other places, I need to be able to debayer on my own. Hence, the grabbing the raw Bayer matrix out.

As I understand it, though, if I set:
RawProcessor.imgdata.params.use_camera_wb = 1;
RawProcessor.imgdata.params.no_iterpolation = 1;
RawProcessor.dcraw_process();
libraw_processed_image_t *image = RawProcessor.dcraw_make_mem_image(&rval);

Hi LibRaw team,

I ran into a problem where the FujiExpoMidPointShift variable has a different value in the debug vs release builds. This seems to be a bug in LibRaw 0.18. It worked fine in LibRaw 0.17. Here is how to reproduce.

In the following Google Drive folder is a Fuji X-Pro1 RAF test image.

https://drive.google.com/drive/folders/0BzcmCgBZCb5WNFVvREwxeDl3eEE?usp=...

Hello again,

is there some kind of best practise to just convert/demosaic a raw file without doing any other post-processing.

Basically I need the raw just converted to 16bits per channel RGB without noise reduction, highlight clipping or anything else.

I get my image data with

I am using LibRaw together with the rawPy wrapper (http://pythonhosted.org/rawpy/api/rawpy.RawPy.html) to read in DNG files into Python. Unfortunately the input image does not seem to be correctly read in.

The code I use is:

import rawpy
import imageio

newFile = 'GOPR0079.DNG'

with rawpy.imread(newFile) as raw:
rgb = raw.postprocess(demosaic_algorithm=None,output_color = rawpy.ColorSpace.raw)

imageio.imsave('tst.png',rub)