чт, 17 апр. 2025 г., 10:50 Andrea paz <[email protected]>:
CinGG is already capable of reading HDR images, as I believe any program that works in floating point. Just load an HDR image and then read the values in the white with the eydropper tool, to confirm it. What to do in CinGG if we are dealing with HDR media? If we have an HDR monitor I don't know, in fact if anyone has one, that would be useful information. If we have an SDR monitor all we can do is tone mapping and bring everything back to SDR. The trouble is that in CinGG the plugins that work for tone mapping are only the primary color correction plugins, that is, they affect the whole frame. In this way we are able to reveal details in the highlights but the midtones and shadows become hopelessly pure black. It would take secondary color correction tools, i.e., capable of acting only in certain areas of the image.
isn't there workaround for this using masks? Unfortunately, CinGG's two main plugins, namely 3 color way and
curves (contained in Histogram Bezier) do not support HDR values. My old attempt to “unlock” the Value slider in 3 color way was disastrous because it destroyed the functionality of the shadow color wheel. I don't know why. With Histogram Bezier curves one could lock the shadow and midtone values and lower only the highlight values, but, as mentioned, this is not possible. This is easily seen by trying tone mapping: for an SDR image or a clipped HDR image: homogeneous white of value 1.0 becomes homogeneous gray of value less than 1.0. So an unnecessary intervention. In an HDR image, the white value above 1.0 (which we see as homogeneous white = 1.0, however) leads to detailed gray values that are no longer homogeneous, thus reconstructing the content present in the white.
How HDR values relate to color spaces, I just cannot understand.