You can see the lightness and chroma moving within a narrow range as it sweeps the hue. These new color space functions make making palettes like this way easier.
nonethewiser 7 hours ago [-]
Whats the deal with oklch? My naive reaction was a that it sucks to define colors in a way you can’t easily reason about or need and external tool to make.
zeroq 4 hours ago [-]
Short answer - RGB is really convenient for lighting up sub pixels on your LCD screen, but it's utterly terrible at conveying information about relation between colors. HSL is a clever hack to quickly answer which color is slightly dimmer or brighter than this color, but again, it's quite terrible at conveying information about difference between colors.
I encourage you to think about two random colors and imagining a gradient between them and then drawing said gradient in RGB and HSL color spaces. In both cases it will be wildly different from what you'd expect or could create with two blobs of oil paint on canvas.
Long answer - unfortunatelly it's quite hard to convey why we need a better color space in twitter-space but this video (while 40m long it's quite condensed) is an excellent explainer: https://www.youtube.com/watch?v=gnUYoQ1pwes
OKLCH is really easy to work with. Once you have your palette it's easy to get correct shades and hues by tweaking some values. This works great with CSS custom properties.
ChadNauseam 7 hours ago [-]
oklch and oklab are much easier to reason about than alternatives. For oklch, The first parameter is the lightness, the second is the chroma (essentially its saturation), and the 3rd is the hue. I find it very easy to tweak colors by making them brighter or more saturated. Unlike lch, such changes in oklch have regular effects on how the color will be percieved.
This is the first I've heard of oklch. Here's the perspective of somebody who writes a lot of shaders: It looks similar to Hue/saturation/value encoding, which as tons of uses, but with saturation replaced with "chroma" where it seems to nonlinearly adjust saturation probably based on some perceptual study that makes it extra spicy and high science.
snibsnib 7 hours ago [-]
I used to work in a paint lab. You are correct, oklch seems to be based off CIELCh.
Our eyes are much more sensitive to Blue/Violet, and less sensitive to green. There's a bunch of maths behind the perceived responses of our eyes.
A Rainbow with equal DE between colors would probably look better than this one with equal DL.
jacobolus 6 hours ago [-]
For purposes like graphic design or color grading it's usually more useful to first focus on lightness contrast, then pick hue and chroma afterward. Having uniform steps of ΔE is not really important, and using that as a primary criterion will usually make for worse choices. Color is multidimensional and trying to simplify it to a single distance function is substantially misleading for this context.
The main purpose of ΔE is specifying error tolerances for specified colors / measuring small differences between nearby colors, so that e.g. if you hire someone to paint a car or print a magazine you can check that their output matches expectation sufficiently. For colors that are significantly different ΔE isn't that helpful a practical tool.
jcranmer 4 hours ago [-]
There are three main models to numerically model a color space.
There is an additive color mixing model, which is basically your standard RGB model, where you basically control how bright each of the red, green, and blue lamps shining at a point. There is a complementary subtractive color mixing model, which is controlling the amount of pigments you drop onto a substrate (CMYK is what you'll see used in computers these days). Then there's a third model, where you measure it according to brightness, colorfulness, and then the actual hue it is--there's a lot more variants in this model, basically any colorspace you don't recognize is this kind of model.
If you visualize colors existing in an RGB cube, you have 8 colors at the vertices: black and white are at opposite ends of a diagonal, and the other 6 are two sets of nonadjacent vertices: red, green, and blue in one set, and cyan, magenta, and yellow in the other set. Given such a cube, you should be able to easily see that RGB is using one of those sets as its basis set, whereas CMYK is using the other set as its basis set. The third set of models is built by tilting the cube such that the black-white diagonal is now the vertical line (one of the components), and then distance from this line becomes another component, and then the angle around the line is the final component--it's a cylindrical coordinate space in 3D space, not a Cartesian space.
Some models, like CIELAB or Oklab, use the third model but retain a Cartesian coordinate system, the last two values being called something generic like 'a' and 'b'. Oklch is the same as Oklab, but expressed as cylindrical coordinates, because chroma (colorfulness aka distance from the pure light line) and hue (aka the dominant color of the light) is more convenient for people to work with than a Cartesian system.
striking 7 hours ago [-]
L is for lightness (0-100%), C is for chroma (0-0.5), H is for hue (0-360deg).
Lightness dictates how white or black a color is, chroma dictates how saturated it is, and hue is which angle on the color wheel it occupies. Varying these one at a time lets you intuitively pick colors that are close to one another in the space of human perception. And CIE Lab colors are especially nice because they cover more than the sRGB gamut that we're all used to defining with HSL or RGB, so you can really make the most of your fancy wide color gamut monitor.
jansan 1 hours ago [-]
Unfortunately in the CSS implementation of oklab Chroma takes priority over Lightness, so if you have high Chroma and Lightness at 100% that results in a color outside the RGB gamut, it will not give you white, but the lightest color with that Chroma. To me this is quite counterintuitive.
diegof79 7 hours ago [-]
The deal with Oklch is that hsl/hsb don’t do a good lightness mapping regarding color perception, but Oklch does. So, if you transform your RGB to lch and move the “l” value, you can easily get a nicer color palette. Also, you can tell the lightness of two colors by looking at the “l” value; that’s not true for hsl/hsb. That’s useful if you want lightness contrast or different hues with a similar lightness.
Other than that, I agree that “chroma” is hard to reason about. But, at least it is easier to reason than the “a”/“b” parameters in “lab”.
WhitneyLand 7 hours ago [-]
The win is working with lightness and contrast. For example, once you have a palette, making it a bit lighter is easy.
The loss is no longer having any intuition about what a color is just by seeing the numbers.
masklinn 3 hours ago [-]
Isn’t that largely just a matter of learning the hue wheel? And maybe chroma to apply saturation?
atoav 1 hours ago [-]
OKLCH really shines if you have to interpolate color between two colors (e.g. in space resulting in a gradient or in time as part of an animation) or you just want to change a color without makingnit darker or brighter.
If you interpolate between RGB colors you will get very weird grayish shades inbetween and the new color may be preceptually darker or brighter, which may be a problem (e.g. if it is text on a background). With OKLCH you define one color and as you rotate around the color wheel it stays the same preceptual brightness, which is incredibly cool.
This means before a designer would have to touch 3 values (RGB or HSV) to match the colors preceptually using their eyeballs, now there is only one value and it matched nearly perfectly as it is.
barrkel 8 hours ago [-]
My usual problem with these palettes from color blindness. The two greens are almost identical for the most common type. They don't have good contrast if they're e.g. used for lines in a chart.
The tol palettes are the best looking colorblind friendly palettes to me. Most of the others get complaints from non colorblind users about looking bad/desaturated.
The top comment color palette also reminds me a lot of the viridis "turbo" palette, which is a more perceptually uniform on MATLAB's notoriously bad "jet" palette
bee_rider 6 hours ago [-]
I tried to get a palette that would work for colorblind people, but I only made it up to 3-4 colors IIRC. I needed to plot more lines… so I ended up using shapes. My plot could be more beautiful without them, but at least everybody can read it. :shrug:
colechristensen 8 hours ago [-]
From not-color-blindness, there are more than a few pairs which would still be bad choices for lines on a chart.
whall6 6 hours ago [-]
Why is the far left and far right nearly the same color? If you’re showing a gradient the max and min would be nearly indistinguishable.
JdeBP 1 hours ago [-]
If you are showing a gradient, then the colour-blind people of the world will tell you in quite strong terms not to use a rainbow for the scale at all, let alone to use a rainbow that has been designed to have this sort of perceived lightness curve.
The headlined article is a rainbow, not some universally applicable colour scheme.
saretup 6 hours ago [-]
That would be a waste of a data point. Consider joining the colors in a circular shape.
zeroq 4 hours ago [-]
This is nice, and works really nice for her use case!
Two things to note when thinking about color schemes:
(1) dr. Cynthia Brewer spent way too much time developing the color scheme for maps with information and similar inforgraphics. I can't find the document at this time, but was a lecture long explanation about how she got them.
(2) designers often use "sacred geometry" bullshit like "golden ratio", PI, Phi, and such to explain their thought process. The most common way to create a color palette is to use opposite colors, "triads" and "tetrads". All of this is based on color wheel in HSL/HSV. Which is almost as bad at describing relation between colors as RGB. [2]
PS. my pet peeve for a long time was trying to understand why most color quantization algorithms were relying on finding the distance between RGB colors in 3D space (by mapping RGB components to XYZ coordinates) while it's obviously a terrible way to reason about color relationship.
PPS. a random dude with a similar interest but way more dedication (re)disovered a work by Kubelka and Munk from 1931 describing an algorithm how to properly mix colors and based on that created an incredible graphics program that allows you to paint just like in real life - with oils and watercolors on canvas! [3]
I think it's rather unpleasant for her use-case actually. I rainbow looks quite nice but when used in a dashboard like that... I don't know, the big solid blocks don't look nice to me. I think they're too saturated. They're nicer for the (outlined) squares and lines, not so nice in the donut graph and for the header backgrounds.
NelsonMinar 7 hours ago [-]
The 12 bit constraint is a fun one although a little artificial. But picking 12 different colors with constant luminance is quite a challenge! ColorBrewer only goes to 9, and to my eyes more than 6 is very hard to make out. But these 12 are quite nice if you don't mind a little blurring, particularly folks with some form of colorblindness.
BugsJustFindMe 9 hours ago [-]
> chosen with consideration for how we perceive luminance, chroma, and hue
Needs more consideration. The colors are not equally different.
p1necone 9 hours ago [-]
I think the only way to fix that would be to darken the yellow to the point where it's not really perceived as yellow anymore though - more like a muddy mustard.
edit: op originally specifically referred to yellow.
01HNNWZ0MV43FF 8 hours ago [-]
Yeah, the purples look very close on my screen
sho_hn 8 hours ago [-]
It looks quite fantastic on my fairly new OLED screen, and the colors are pleasingly differentiated here.
Obviously designing for bad screens and/or eyes are both very important considerations, though.
sockaddr 8 hours ago [-]
Yeah and it's essentially lacking a red
mjmsmith 7 hours ago [-]
I thought the colors on the linked 'National Grid: Live' page looked pretty good, but they don't match the palette. For instance, the red used is #c45.
hedora 5 hours ago [-]
Technically, this is a 3.5849625 bit palette, though if you add black, white, transparent, and a reserved entry, it’d be 4 bit.
WatchDog 5 hours ago [-]
Right. A 12 bit palette would be 4096 colors.
turnsout 4 hours ago [-]
In this context, 12bit refers to the combined bit count of RGB (each 4bit)
WatchDog 3 hours ago [-]
In the context of the original post, or in the context of talking about color depth in general?
In the context of the original post, it seems like Kate is just talking about 12 total colors, it's not 12 bit in any logical sense.
In the context of color depth sure, 12-bit color[0] would be 4 bits per channel.
> The palette uses a 12-bit colour depth, so each colour requires only four characters when specified as a hexadecimal colour code in a CSS or SVG file
jjmarr 7 hours ago [-]
Why is 12 bits 4 characters? Shouldn't it be 3 hexadecimal digits (as shown on the website), since each digit is 4 bits?
saurik 7 hours ago [-]
3 hexadecimal digits and one # symbol is 4 characters.
shadowfacts 7 hours ago [-]
Four characters counting the pound sign.
tom_ 6 hours ago [-]
It takes fewer keypresses to refer to it simply as #, which is worth doing as its name is locale dependent.
7 hours ago [-]
cdev_gl 8 hours ago [-]
Really cool project! I like the twelve color palette the author presents, and the grayscales, but I'd love to see more about the choice to use twelve bits to encode it. Presumably enough of the rest of the possibility space is needed to justify writing a custom encoding. Or maybe it was done because custom color encodings are cool, which they definitely are.
The palette is so pretty, I wonder how the whole LCH color space quantized down to 4096 colors looks. I find limited bitdepth color spaces fascinating to look at, there's so many choices about how to represent color they can look wildly different.
Dwedit 5 hours ago [-]
The problem with using 12-bit sRGB is that sRGB is not a linear colorspace. You're not taking 16 evenly spaced points in the full range of brightness, you're taking 16 points along the sRGB curve.
gblargg 3 hours ago [-]
Why would you want to use a linear color space for something meant for eyes?
reverius42 2 hours ago [-]
I assume they meant a perceptually linear color space, which is exactly what you'd want to use for something meant for eyes.
I've not paid much attention to this aspect of CIELAB, but, oh, I see; if you go clockwise around the rectilinear representation you do get rainbow order.
love this! great work. I often use 12-bit/4-character definitions just for a fun extra limitation. going the extra mile to create a palette with them is so cool
jjcm 7 hours ago [-]
Fun exercise in constraints, but why limit yourself to 12 bit color? Was this a technical requirement?
mark-r 5 hours ago [-]
Looks like it was just for the convenience of specifying each color with 3 hex digits instead of 6. I doubt it was a requirement, just a nice to have. And the difference between 12 and 24 bits is negligible in this application.
8 hours ago [-]
pspeter3 9 hours ago [-]
Are there gray colors to go along with it? This seems great for charts though
CSS recently has been adding way more color features, here's the palette represented in oklch:
You can see the lightness and chroma moving within a narrow range as it sweeps the hue. These new color space functions make making palettes like this way easier.I encourage you to think about two random colors and imagining a gradient between them and then drawing said gradient in RGB and HSL color spaces. In both cases it will be wildly different from what you'd expect or could create with two blobs of oil paint on canvas.
Long answer - unfortunatelly it's quite hard to convey why we need a better color space in twitter-space but this video (while 40m long it's quite condensed) is an excellent explainer: https://www.youtube.com/watch?v=gnUYoQ1pwes
OKLCH is really easy to work with. Once you have your palette it's easy to get correct shades and hues by tweaking some values. This works great with CSS custom properties.
This page has more information: https://evilmartians.com/chronicles/oklch-in-css-why-quit-rg...
Our eyes are much more sensitive to Blue/Violet, and less sensitive to green. There's a bunch of maths behind the perceived responses of our eyes.
If you're interested you can calculate perceived differences in the LCh colorspace using something like CIEDE2000.(https://en.wikipedia.org/wiki/Color_difference#CIEDE2000)
A Rainbow with equal DE between colors would probably look better than this one with equal DL.
The main purpose of ΔE is specifying error tolerances for specified colors / measuring small differences between nearby colors, so that e.g. if you hire someone to paint a car or print a magazine you can check that their output matches expectation sufficiently. For colors that are significantly different ΔE isn't that helpful a practical tool.
There is an additive color mixing model, which is basically your standard RGB model, where you basically control how bright each of the red, green, and blue lamps shining at a point. There is a complementary subtractive color mixing model, which is controlling the amount of pigments you drop onto a substrate (CMYK is what you'll see used in computers these days). Then there's a third model, where you measure it according to brightness, colorfulness, and then the actual hue it is--there's a lot more variants in this model, basically any colorspace you don't recognize is this kind of model.
If you visualize colors existing in an RGB cube, you have 8 colors at the vertices: black and white are at opposite ends of a diagonal, and the other 6 are two sets of nonadjacent vertices: red, green, and blue in one set, and cyan, magenta, and yellow in the other set. Given such a cube, you should be able to easily see that RGB is using one of those sets as its basis set, whereas CMYK is using the other set as its basis set. The third set of models is built by tilting the cube such that the black-white diagonal is now the vertical line (one of the components), and then distance from this line becomes another component, and then the angle around the line is the final component--it's a cylindrical coordinate space in 3D space, not a Cartesian space.
Some models, like CIELAB or Oklab, use the third model but retain a Cartesian coordinate system, the last two values being called something generic like 'a' and 'b'. Oklch is the same as Oklab, but expressed as cylindrical coordinates, because chroma (colorfulness aka distance from the pure light line) and hue (aka the dominant color of the light) is more convenient for people to work with than a Cartesian system.
Lightness dictates how white or black a color is, chroma dictates how saturated it is, and hue is which angle on the color wheel it occupies. Varying these one at a time lets you intuitively pick colors that are close to one another in the space of human perception. And CIE Lab colors are especially nice because they cover more than the sRGB gamut that we're all used to defining with HSL or RGB, so you can really make the most of your fancy wide color gamut monitor.
Other than that, I agree that “chroma” is hard to reason about. But, at least it is easier to reason than the “a”/“b” parameters in “lab”.
The loss is no longer having any intuition about what a color is just by seeing the numbers.
If you interpolate between RGB colors you will get very weird grayish shades inbetween and the new color may be preceptually darker or brighter, which may be a problem (e.g. if it is text on a background). With OKLCH you define one color and as you rotate around the color wheel it stays the same preceptual brightness, which is incredibly cool.
This means before a designer would have to touch 3 values (RGB or HSV) to match the colors preceptually using their eyeballs, now there is only one value and it matched nearly perfectly as it is.
The tol palettes are the best looking colorblind friendly palettes to me. Most of the others get complaints from non colorblind users about looking bad/desaturated.
The top comment color palette also reminds me a lot of the viridis "turbo" palette, which is a more perceptually uniform on MATLAB's notoriously bad "jet" palette
The headlined article is a rainbow, not some universally applicable colour scheme.
Two things to note when thinking about color schemes:
(1) dr. Cynthia Brewer spent way too much time developing the color scheme for maps with information and similar inforgraphics. I can't find the document at this time, but was a lecture long explanation about how she got them.
(2) designers often use "sacred geometry" bullshit like "golden ratio", PI, Phi, and such to explain their thought process. The most common way to create a color palette is to use opposite colors, "triads" and "tetrads". All of this is based on color wheel in HSL/HSV. Which is almost as bad at describing relation between colors as RGB. [2]
PS. my pet peeve for a long time was trying to understand why most color quantization algorithms were relying on finding the distance between RGB colors in 3D space (by mapping RGB components to XYZ coordinates) while it's obviously a terrible way to reason about color relationship.
PPS. a random dude with a similar interest but way more dedication (re)disovered a work by Kubelka and Munk from 1931 describing an algorithm how to properly mix colors and based on that created an incredible graphics program that allows you to paint just like in real life - with oils and watercolors on canvas! [3]
[1] https://colorbrewer2.org/ [2] https://www.youtube.com/watch?v=gnUYoQ1pwes [3] https://www.escapemotions.com/products/rebelle/about
Needs more consideration. The colors are not equally different.
edit: op originally specifically referred to yellow.
Obviously designing for bad screens and/or eyes are both very important considerations, though.
In the context of the original post, it seems like Kate is just talking about 12 total colors, it's not 12 bit in any logical sense.
In the context of color depth sure, 12-bit color[0] would be 4 bits per channel.
[0]: https://en.wikipedia.org/wiki/Color_depth#12-bit_color
> The palette uses a 12-bit colour depth, so each colour requires only four characters when specified as a hexadecimal colour code in a CSS or SVG file
The palette is so pretty, I wonder how the whole LCH color space quantized down to 4096 colors looks. I find limited bitdepth color spaces fascinating to look at, there's so many choices about how to represent color they can look wildly different.
https://en.wikipedia.org/wiki/CIELAB_color_space#Cylindrical...
I've not paid much attention to this aspect of CIELAB, but, oh, I see; if you go clockwise around the rectilinear representation you do get rainbow order.
https://evilmartians.com/chronicles/oklch-in-css-why-quit-rg...