This is a relatively simple command line tool to help get transfer function LUTs and color space chromaticities out of other color processing tools, as long as they support reading and writing OpenEXR image files.

First, generate the test image:

lut_extractor --test_image

Load the resulting lut_extractor_2560x1440.exr image into your color processing software and run it through the processing that would convert from encoded color to linear color, and save the processed image as a separate OpenEXR image.

Important notes:

• The new image must be exactly the same resolution as the test image. Any image scaling, blurring, etc. will break this process.
• Ensure that no other color processing is being done other than linearizing the RGB values. For example, ensure that no gamut conversion is being done at the same time.
• Ideally, you should save it as a 32-bit floating point, lossless OpenEXR image. Half float will reduce precision, and lossy compression can cause artifacts in the computed LUT.

Next, run the processed OpenEXR image through lut_extractor like this:

lut_extractor -i filename.exr

This will produce two LUT files, one in .cube format and one in .spi1d format.

It also attempts an analytic fit to the LUT, but this only works well for specific kinds of transfer functions. Error statistics and pseudo code of the fit are printed. (Note: Max Relative Error is the most relevant statistic, and should be below 0.01 for an okay fit and below 0.001 for a good fit.)

And that's it!

This is essentially the same process as above, except doing a color gamut conversion instead of a linearizing conversion:

Process the test image into CIE XYZ color space, and save it as a separate OpenEXR image. Ensure that only gamut conversion is being done. For example, no non-linear -> linear conversion.

Next, run the processed OpenEXR image through lut_extractor like this:

lut_extractor --chroma filename.exr

It will then print the chromaticity coordinates.

This software is licensed under either of

• Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.