- From: Isaac Muse via GitHub <sysbot+gh@w3.org>
- Date: Thu, 30 Mar 2023 15:54:49 +0000
- To: public-css-archive@w3.org
@JamesEggleton I'd love to see the work! One of the issues with the current matrices is that Oklab and OkLCh just don't get chroma as close to zero when colors are achromatic. That leads to messy results when assuming zero for chroma or zero for a and b in Oklab, especially as lightness increases. This also makes the hue have more influence in good conversions as chroma is not quite small enough to completely drown out its influence.
```py
>>> Color('white').convert('oklch', norm=False).set('hue', 0).set('chroma', 0).convert('srgb')[:]
[0.9999999610079292, 0.9999999999787738, 1.0000001063154036, 1.0]
```
But your matrices actually yield some pretty good results and have a "tightness" in the conversion that is more inline with the current Lab and LCh conversions:
```py
>>> Color('white').convert('oklch', norm=False).set('hue', 0).set('chroma', 0).convert('srgb')[:]
[1.0000000000000004, 0.9999999999999997, 0.9999999999999999, 1.0]
>>> Color('white').convert('lch', norm=False).set('hue', 0).set('chroma', 0).convert('srgb')[:]
[0.9999999999999999, 0.9999999999999999, 0.9999999999999997, 1.0]
```
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Received on Thursday, 30 March 2023 15:54:51 UTC