commit	37da66bcfdbd5ac30e20a3eab8b9e7b8e468d472	[log] [tgz]
author	Danny Lin <danny@kdrag0n.dev>	Mon Aug 30 01:22:18 2021 -0700
committer	Danny Lin <danny@kdrag0n.dev>	Mon Aug 30 01:22:18 2021 -0700
tree	d8d2e076442cc8bcc837a167d65e7293dffdbc57
parent	11c238d3c40a4a24513e6103268544eedfda8846 [diff]

tree: d8d2e076442cc8bcc837a167d65e7293dffdbc57

README.md

Color.kt

Color.kt is a modern color science library for Kotlin Multiplatform and Java. It includes modern perceptually-uniform color spaces and color appearance models, such as Oklab and ZCAM.

Features

Perceptually-uniform color spaces, each with LCh (lightness, chroma, hue) representations
Color appearance models
- ZCAM
Hue-preserving gamut mapping
- Preserve lightness, reduce chroma (default)
- Project towards neutral 50% gray
- Adaptive lightness and chroma preservation
CIE 1931 XYZ interchange color space
- Relative luminance
- Absolute luminance in nits (cd/m²) for HDR color spaces
Automatic conversion graph
Gamma-correct sRGB encoding and decoding
Support for custom color spaces
Idiomatic Java API

Usage

Add this library as a dependency:

repositories {
    mavenCentral()
}

dependencies {
    implementation 'dev.kdrag0n:colorkt:1.0.0'
}

If you're using the Kotlin Gradle DSL:

repositories {
    mavenCentral()
}

dependencies {
    implementation("dev.kdrag0n:colorkt:1.0.0")
}

Examples

Increase colorfulness with CIELAB

Convert a hex sRGB color code to CIELAB, increase the chroma (colorfulness), and convert it back to sRGB as a hex color code:

val cielab = Srgb("#9b392f").convert<CieLab>()
val lch = cielab.convert<CieLch>()
val boosted1 = lch.copy(C = lch.C * 2).convert<Srgb>().toHex()

Do the same thing in Oklab:

val oklab = Srgb("#9b392f").convert<Oklab>()
val lch = oklab.convert<Oklch>()
val boosted2 = lch.copy(C = lch.C * 2).convert<Srgb>().toHex()

Advanced color appearance model usage

Model a color using ZCAM:

// Brightness of the display
val luminance = 200.0 // nits (cd/m²)

// Conditions under which the color will be viewed
val cond = Zcam.ViewingConditions(
    surroundFactor = Zcam.ViewingConditions.SURROUND_AVERAGE,
    adaptingLuminance = 0.4 * luminance,
    // Mid-gray background at 50% luminance
    backgroundLuminance = CieLab(50.0, 0.0, 0.0).toXyz().y * luminance,
    // D65 is the only supported white point
    referenceWhite = Illuminants.D65.toAbs(luminance),
)

// Color to convert
val src = Srgb("#533b69")
// Use ZCAM to get perceptual color appearance attributes
val zcam = src.toLinear().toXyz().toAbs(luminance).toZcam(cond)

Increase the chroma (colorfulness):

val colorful = zcam.copy(chroma = zcam.chroma * 2)

Convert the color back to sRGB, while preserving hue and avoiding ugly results caused by hard clipping:

val srgb = colorful.clipToLinearSrgb()

Finally, print the new hex color code:

println(srgb.toHex())

Automatic conversion

Color.kt makes it easy to convert between any two color spaces by automatically finding the shortest path in the color conversion graph. This simplifies long conversions, which can occur frequently when working with different color spaces. For example, converting from CIELCh to Oklab LCh is usually done like this:

val oklab = cielch.toCieLab().toXyz().toLinearSrgb().toOklab().toOklch()

With automatic conversion:

val oklab = cielch.convert<Oklch>()

However, keep in mind that there is a performance cost associated with automatic conversion because it requires searching the graph. Conversion paths are cached after the first use, but it is still less efficient than manual conversion; prefer manual, explicit conversions in performance-critical code.

Custom color spaces

Color.kt includes several color spaces that should cover most use cases, but you can also add your own if necessary. Simply create a class that implements the Color interface, and implement some conversions to make the color space useful:

data class GrayColor(val brightness: Double) : Color {
    fun toLinearSrgb() = LinearSrgb(brightness, brightness, brightness)

    companion object {
        // sRGB luminosity function from https://en.wikipedia.org/wiki/Relative_luminance
        fun LinearSrgb.toGray() = GrayColor(0.2126 * r + 0.7251 * g + 0.0722 * b)
    }
}

Optionally, add your new color space to the automatic conversion graph for convenient usage:

ConversionGraph.add<LinearSrgb, GrayColor> { it.toGray() }
ConversionGraph.add<GrayColor, LinearSrgb> { it.toLinearSrgb() }

If you implement a new color space this way, please consider contributing it with a pull request so that everyone can benefit from it!