![]() And as the colorpicker code is colorspace-aware, it should be the one to handle this if necessary, anyhow. Remove colorspace conversions before colorpicking in per-iop pickers. Explicitly handle sampling of monochrome images without generation a warning. But now this is done via an OpenMP if() clause, which eliminates a lot of very similar code. As before, parallelization is only used for sufficiently large sample sizes. Unify the sequential and parallel paths for colorpicker sampling. In these cases, turning off output sampling is a 2x speedup. In the case of many iops, we only need to sample the input. Add a flag which iop's must set to turn on sampling of their output. In this PR, denoising is only enabled for filmic. And the current denoising implementation will denoise the entire image on the CPU path, even if the sample is only a point sample. Denoising also is slow (5x slowdown, plus more memory usage), albeit for what is generally a very fast operation. Denoising is helpful for filmic auto-tuning, but in other cases we actually _want_ to see the real minimum/maximum pixel values, noise and all. Add a flag to allow denoising to be turned on per picker. Much of this code did the same thing, but previously it had multiple executions paths. Unify the iop, global, and live sample colorpicking code. There should be no user-visibl … e differences in most cases (excepting being a bit faster). sRGB standard is now 24 years old and apparently still ignored quite often.Ĭleanups to colorpicking code. Better concentrate on the “hidden” basics. I can understand Aurelien, who complains about GUI extensions in DT. May be a direct contact to the SW authors? I am hesitating to explain this simple basic topic in Github in detail. How and to whom shall I address this DT issue? Thank you for any advice. ![]() (color and brighness variation between pixels). This does not affect homogenous color areas, BUT it does affect any small details Will be wrong and the result is subject of misinterpretation! Without correct scaling of images in any zoom not equal to 100 %, the displayed image Especially the “last” module with scaling to specific output pixel dimensions is most important. I assume, that this calculation is done correctly in all DT modules with state “lin RGB” processing.īut I will check step by step, if this is really always the case. Then you can process and make any manipulations.įor example the average calculation of color picker or resizing images.Īfter this you have to convert this result back to nonlinear coded sRGB. On my website you can find a couple of graphics of this function.įor any pixel calculations you have to convert the nonlinear coded sRGB valuesīack to linear values. They are defined stepwise, a linear area and an exponential area. In the chapter “Transformation” you find the gamma-companded and gamma-compressed formulas. The standard has to be purchased, but all relevant formulas are published.įor example here: en./wiki/SRGB. The math and solution is well defined in sRGB standard IEC 6 since 1999 (!!!). With the famous test image of Dalai Lama. ![]() Since 2007 (!!!) Eric Brasseur about “Gamma-Scaling-Error” on his website Of most software tools for image browsing, (pre)viewing, editing, scaling … Why a sophisticated tool like DT does address highly complex modulesīut does NOT address the basics of RGB calculation for display and color picker.Ī couple of people raised the topic multiple times as a general issue The wrong sRGB color calculation is not a new thing and I really do not understand
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