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Overwriting/Generating fake Nikon .NEF raw files

Hello,

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.

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alteration of RAW files

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.

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How to read IIQ raw images with Libraw

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.

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Conserving negative pixel values after demosaicing

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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