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A comment on Gamma error in picture scaling.
If you decompose the image into LAB, then the individual channels exhibit this scaling issue.
But the kicker here is that when you're working with these decomposed channels, they are visualized in the GUI as grayscale.
So, thus, never mind the fact that they represent color; that is irrelevant. Color seems to be a "gray herring" here.
What's fascinating is that the eyes are not fooled; optical blurring and scaling is resilient somehow.
So it really is just about the intensity mapping, underscoring how this is a gamma issue.
The data is contrived so that a linear treatment of the intensities will average out to around zero.
This reminds me of say, the wrongness of mixing logarithmically compressed audio samples just by adding them together.
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If you decompose the image into LAB, then the individual channels exhibit this scaling issue.
But the kicker here is that when you're working with these decomposed channels, they are visualized in the GUI as grayscale.
So, thus, never mind the fact that they represent color; that is irrelevant. Color seems to be a "gray herring" here.
What's fascinating is that the eyes are not fooled; optical blurring and scaling is resilient somehow.
So it really is just about the intensity mapping, underscoring how this is a gamma issue.
The data is contrived so that a linear treatment of the intensities will average out to around zero.
This reminds me of say, the wrongness of mixing logarithmically compressed audio samples just by adding them together.