Hi there, I'm sure this question has been asked and apologies ahead of time if this is a repeat. I'm looking for RAW development libraries in Python and noticed that LibRaw is all C++ or C. Any recommendations on a Python alternative?
I would like to know if it is possible to modify raw data or generate completely fake raw files with LibRaw?
If not can someone please point me in the right direction?
I searched intensively but have no luck with finding any information about generating NEF files or DNG files from scratch. Alternatively it would probably suffice just to somehow overwrite the image data contained in the NEF raw file.
Any ideas on how to do this?
I'm not a real developer I just write python most of the time.
Please, could anyone answer the following questions?
I think that RAW files store RGB exposition (RGB-E) as continuous values, or, at least, much more continuous with respect to the discrete (i.e. integer) values of its TIFF version, is this right?
If so, do you know a software that allows the following procedure:
1) conversion of RGB-E to HSV-E, that is, E values expressed in HSV color space.
2) raising of V-E (i.e., the V channel of HSV-E) values to the power 1/g, where “g” is greek gamma and its value should be of one’s choice.
I am here with basic knowledge of C++ and library implementation and I am intended to read IIQ files captured with PhaseOne. I found Libraw is a good library to do that. I have downloaded "Windows binaries (and sources), compiled by MSVC 2013, 64 bit" and unzip that so far. I have tried to follow the compilation and installation guide, but the instructions was also not clear to me. I would really appreciate if someone could give me instruction how I can read IIQ files in my visual studio 2017 and C++ using Libraw.
Actually, I did not really understand the installation on VS. Can anyone tell how to achieve it step by step? Especially how to link the .lib and .dll files?
Just curious if there is an estimated time when the next snapshot/release is planned? I saw in a previous post that the next release is suppose to have canon .CR3 support which is a tough nut to crack, so eagerly looking forward to it. Thanks for all the work the LibRaw team does!
I'm wondering if there's any way to conserve the negative pixel values after demosaicing which are quite important on noisy pictures because not clipping those values is the best way to avoid having purple haze (when the image has black parts and the negative values are clipped then the noise averages out to something positive instead of zero, which creates a haze, and typical white balance makes it purple), mostly when applying a blurring, denoising or downscaling algorithm to the image.
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