Added packages for linear grayscale colour varients.
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123
lgraya/lgraya.go
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123
lgraya/lgraya.go
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// Provides a [color.Color] type for dealing with premultiplied linear grayscale+alpha colours.
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package lgraya
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import (
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"image/color"
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"math"
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"smariot.com/color/internal/helper"
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)
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// Color is a pre-multiplied linear grayscale+alpha [color.Color].
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type Color struct {
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Y, A float64
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}
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func sqr(a float64) float64 {
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return a * a
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}
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// DistanceSqr returns the maximum possible euclidean distance squared between two colours,
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// accounting for the possible backgrounds they might be composited over.
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func DistanceSqr(a, b Color) float64 {
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dY := a.Y - b.Y
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dA := a.A - b.A
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return max(sqr(dY), sqr(dY+dA))
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}
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// Distance returns the maximum possible euclidean distance between two colours,
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// accounting for the possible backgrounds they might be composited over.
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func Distance(a, b Color) float64 {
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dY := a.Y - b.Y
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dA := a.A - b.A
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return max(math.Abs(dY), math.Abs(dY+dA))
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}
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// YA converts to premultiplied sRGB grayscale+alpha.
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func (c Color) YA() (y, a uint32) {
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y, a = c.NYA()
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y = y * a / 0xffff
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return
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}
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// NYA converts to non-premultiplied sRGB grayscale+alpha.
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func (c Color) NYA() (y, a uint32) {
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_y, _a := c.NLYA()
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return helper.Delinearize(_y), uint32(_a*0xffff + 0.5)
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}
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// NLYA converts to non-premultiplied linear grayscale+alpha.
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func (c Color) NLYA() (y, a float64) {
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if c.A <= 0 {
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return 0, 0
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}
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return c.Y / c.A, c.A
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}
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// RGBA converts to premultiplied RGBA, implementing the [color.Color] interface.
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func (c Color) RGBA() (r, g, b, a uint32) {
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y, a := c.YA()
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return y, y, y, a
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}
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// NRGBA converts to non-premultiplied RGBA.
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func (c Color) NRGBA() (r, g, b, a uint32) {
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y, a := c.NYA()
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return y, y, y, a
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}
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// NLRGBA converts to non-premultiplied linear RGBA.
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func (c Color) NLRGBA() (r, g, b, a float64) {
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y, a := c.NLYA()
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return y, y, y, a
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}
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// NXYZA converts to non-premultiplied XYZ+Alpha.
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func (c Color) NXYZA() (x, y, z, a float64) {
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if c.A <= 0 {
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return 0, 0, 0, 0
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}
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x, y, z = helper.LRGBtoXYZ(c.Y/c.A, c.Y/c.A, c.Y/c.A)
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return x, y, z, c.A
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}
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// NOkLabA converts to non-premultiplied OkLab+Alpha.
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func (c Color) NOkLabA() (lightness, chromaA, chromaB, a float64) {
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if c.A <= 0 {
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return 0, 0, 0, 0
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}
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lightness, chromaA, chromaB = helper.LMStoOkLab(helper.LRGBtoLMS(c.Y/c.A, c.Y/c.A, c.Y/c.A))
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return lightness, chromaA, chromaB, c.A
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}
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// Convert converts an arbitrary colour type to a premultiplied linear RGBA [Color].
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func Convert(c color.Color) Color {
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if c, ok := c.(Color); ok {
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return c
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}
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r, g, b, a := helper.ColorToNLRGBA(c)
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// the color.Gray16Model documents that it uses the coefficients 0.299, 0.5867, and 0.114.
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// however, it does this using integer arithmetic, so the actual coefficients are effectively rounded to the nearest 1/0x10000.
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return Color{
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Y: helper.DelinearizeF(
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helper.LinearizeF(r)*0x0.4c8bp0+
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helper.LinearizeF(g)*0x0.9646p0+
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helper.LinearizeF(b)*0x0.1d2fp0,
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) * a,
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A: a,
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}
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}
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// A [color.Model] for converting arbitrary colours to a premultiplied linear RGBA [Color].
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//
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// Wraps the [Convert] function, returning a [color.Color] interface rather than the [Color] type.
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var Model = helper.Model(Convert)
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// Type assertion.
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var _ color.Color = Color{}
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53
lgraya/lgraya_test.go
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53
lgraya/lgraya_test.go
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@ -0,0 +1,53 @@
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package lgraya
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import (
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"math"
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"testing"
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"smariot.com/color/internal/helper"
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)
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func eq(c0, c1 Color) bool {
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return helper.EqFloat64SliceFuzzy(
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[]float64{c0.Y, c0.A},
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[]float64{c1.Y, c1.A},
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)
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}
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func midpoint(c0, c1 Color) Color {
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return Color{(c0.Y + c1.Y) / 2, (c0.A + c1.A) / 2}
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}
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func TestModel(t *testing.T) {
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helper.TestModel(t, false, true, Model, eq, []helper.ConvertTest[Color]{
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// These is a very illegal colour. If it makes it through
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// unchanged, we can be reasonably confident no colour space conversions were
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// attempted.
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{
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Name: "passthrough +inf",
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In: Color{math.Inf(1), 0},
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Out: Color{math.Inf(1), 0},
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}, {
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Name: "passthrough +inf",
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In: Color{math.Inf(-1), math.NaN()},
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Out: Color{math.Inf(-1), math.NaN()},
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}, {
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Name: "passthrough nan",
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In: Color{math.NaN(), math.Inf(1)},
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Out: Color{math.NaN(), math.Inf(1)},
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},
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})
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}
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func distance(a, b Color) float64 {
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d := Distance(a, b)
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dSqr := DistanceSqr(a, b)
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if !helper.EqFloat64Fuzzy(d*d, dSqr) {
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panic("Distance and DistanceSqr are not equivalent")
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}
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return d
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}
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func TestDistance(t *testing.T) {
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helper.TestDistance(t, false, true, midpoint, distance, Model)
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}
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