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Add CAM16 (JMh) #379
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Add CAM16 (JMh) #379
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import ColorSpace from "../space.js"; | ||
import {multiplyMatrices, interpolate, copySign, spow, zdiv, bisectLeft} from "../util.js"; | ||
import {constrain} from "../angles.js"; | ||
import xyz_d65 from "./xyz-d65.js"; | ||
import {WHITES} from "../adapt.js"; | ||
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const white = WHITES.D65; | ||
const adaptedCoef = 0.42; | ||
const adaptedCoefInv = 1 / adaptedCoef; | ||
const tau = 2 * Math.PI | ||
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const cat16 = [ | ||
[ 0.401288, 0.650173, -0.051461 ], | ||
[ -0.250268, 1.204414, 0.045854 ], | ||
[ -0.002079, 0.048952, 0.953127 ] | ||
]; | ||
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const cat16Inv = [ | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Agree that using a full-precision inverse is better than the rounded, 9 figure inverse published in Appendix A |
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[1.8620678550872327, -1.0112546305316843, 0.14918677544445175], | ||
[0.38752654323613717, 0.6214474419314753, -0.008973985167612518], | ||
[-0.015841498849333856, -0.03412293802851557, 1.0499644368778496] | ||
] | ||
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const m1 = [ | ||
[460.0, 451.0, 288.0], | ||
[460.0, -891.0, -261.0], | ||
[460.0, -220.0, -6300.0] | ||
] | ||
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const surroundMap = { | ||
dark: [0.8, 0.525, 0.8], | ||
dim: [0.9, 0.59, 0.9], | ||
average: [1, 0.69, 1] | ||
} | ||
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const hueQuadMap = { | ||
// Red, Yellow, Green, Blue, Red | ||
h: [20.14, 90.00, 164.25, 237.53, 380.14], | ||
e: [0.8, 0.7, 1.0, 1.2, 0.8], | ||
H: [0.0, 100.0, 200.0, 300.0, 400.0] | ||
} | ||
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const rad2deg = 180 / Math.PI; | ||
const deg2rad = Math.PI / 180; | ||
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export function adapt (coords, fl) { | ||
const temp = coords.map(c => { | ||
const x = spow(fl * Math.abs(c) * 0.01, adaptedCoef); | ||
return 400 * copySign(x, c) / (x + 27.13); | ||
}); | ||
return temp; | ||
} | ||
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export function unadapt (adapted, fl) { | ||
const constant = 100 / fl * (27.13 ** adaptedCoefInv); | ||
return adapted.map(c => { | ||
const cabs = Math.abs(c); | ||
return copySign(constant * spow(cabs / (400 - cabs), adaptedCoefInv), c); | ||
}); | ||
} | ||
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export function hueQuadrature (h) { | ||
let hp = constrain(h) | ||
if (hp <= hueQuadMap.h[0]) { | ||
hp += 360; | ||
} | ||
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const i = bisectLeft(hueQuadMap.h, hp) - 1; | ||
const [hi, hii] = hueQuadMap.h.slice(i, i + 2); | ||
const [ei, eii] = hueQuadMap.e.slice(i, i + 2); | ||
const Hi = hueQuadMap.H[i]; | ||
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const t = (hp - hi) / ei; | ||
return Hi + (100 * t) / (t + (hii - hp) / eii); | ||
} | ||
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export function invHueQuadrature (H) { | ||
let Hp = ((H % 400 + 400) % 400); | ||
const i = Math.floor(0.01 * Hp); | ||
Hp = Hp % 100; | ||
const [hi, hii] = hueQuadMap.h.slice(i, i + 2); | ||
const [ei, eii] = hueQuadMap.e.slice(i, i + 2); | ||
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return constrain( | ||
(Hp * (eii * hi - ei * hii) - 100 * hi * eii) / | ||
(Hp * (eii - ei) - 100 * eii) | ||
); | ||
} | ||
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export function environment ( | ||
refWhite, | ||
adaptingLuminance, | ||
backgroundLuminance, | ||
surround, | ||
discounting | ||
) { | ||
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const env = {}; | ||
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env.discounting = discounting; | ||
env.refWhite = refWhite; | ||
env.surround = surround; | ||
const xyzW = refWhite.map(c => { | ||
return c * 100; | ||
}); | ||
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// The average luminance of the environment in `cd/m^2cd/m` (a.k.a. nits) | ||
env.la = adaptingLuminance; | ||
// The relative luminance of the nearby background | ||
env.yb = backgroundLuminance; | ||
// Absolute luminance of the reference white. | ||
const yw = xyzW[1]; | ||
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// Cone response for reference white | ||
const rgbW = multiplyMatrices(cat16, xyzW); | ||
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// Surround: dark, dim, and average | ||
surround = surroundMap[env.surround] | ||
const f = surround[0]; | ||
env.c = surround[1]; | ||
env.nc = surround[2]; | ||
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const k = 1 / (5 * env.la + 1); | ||
const k4 = k ** 4; | ||
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// Factor of luminance level adaptation | ||
env.fl = (k4 * env.la + 0.1 * (1 - k4) * (1 - k4) * Math.cbrt(5 * env.la)); | ||
env.flRoot = env.fl ** 0.25; | ||
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env.n = env.yb / yw; | ||
env.z = 1.48 + Math.sqrt(env.n); | ||
env.nbb = 0.725 * (env.n ** -0.2); | ||
env.ncb = env.nbb; | ||
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// Degree of adaptation calculating if not discounting | ||
// illuminant (assumed eye is fully adapted) | ||
const d = (discounting) ? | ||
1 : | ||
Math.max( | ||
Math.min(f * (1 - 1 / 3.6 * Math.exp((-env.la - 42) / 92)), 1), | ||
0 | ||
); | ||
env.dRgb = rgbW.map(c => { | ||
return interpolate(1, yw / c, d); | ||
}); | ||
env.dRgbInv = env.dRgb.map(c => { | ||
return 1 / c; | ||
}); | ||
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// Achromatic response | ||
const rgbCW = rgbW.map((c, i) => { | ||
return c * env.dRgb[i]; | ||
}); | ||
const rgbAW = adapt(rgbCW, env.fl); | ||
env.aW = env.nbb * (2 * rgbAW[0] + rgbAW[1] + 0.05 * rgbAW[2]); | ||
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// console.log(env); | ||
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return env; | ||
} | ||
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// Pre-calculate everything we can with the viewing conditions | ||
const viewingConditions = environment( | ||
white, | ||
64 / Math.PI * 0.2, 20, | ||
'average', | ||
false | ||
); | ||
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export function fromCam16(cam16, env) { | ||
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// These check ensure one, and only one attribute for a | ||
// given category is provided. | ||
if (!((cam16.J !== undefined) ^ (cam16.Q !== undefined))) { | ||
throw new Error("Conversion requires one and only one: 'J' or 'Q'"); | ||
} | ||
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if (!((cam16.C !== undefined) ^ (cam16.M !== undefined) ^ (cam16.s !== undefined))) { | ||
throw new Error("Conversion requires one and only one: 'C', 'M' or 's'"); | ||
} | ||
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// Hue is absolutely required | ||
if (!((cam16.h !== undefined) ^ (cam16.H !== undefined))) { | ||
throw new Error("Conversion requires one and only one: 'h' or 'H'"); | ||
} | ||
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// Black | ||
if (cam16.J === 0.0 || cam16.Q === 0.0) { | ||
return [0.0, 0.0, 0.0]; | ||
} | ||
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// Break hue into Cartesian components | ||
let hRad = 0.0; | ||
if (cam16.h !== undefined) { | ||
hRad = constrain(cam16.h) * deg2rad; | ||
} | ||
else { | ||
h_rad = invHueQuadrature(H) * deg2rad; | ||
} | ||
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const cosh = Math.cos(hRad); | ||
const sinh = Math.sin(hRad); | ||
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// Calculate `Jroot` from one of the lightness derived coordinates. | ||
let Jroot = 0.0; | ||
if (cam16.J !== undefined) { | ||
Jroot = spow(cam16.J, 1 / 2) * 0.1; | ||
} | ||
else if (cam16.Q !== undefined) { | ||
Jroot = 0.25 * env.c * cam16.Q / ((env.aW + 4) * env.flRoot); | ||
} | ||
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// Calculate the `t` value from one of the chroma derived coordinates | ||
let alpha = 0.0; | ||
if (cam16.C !== undefined) { | ||
alpha = cam16.C / Jroot; | ||
} | ||
else if (cam16.M !== undefined) { | ||
alpha = (cam16.M / env.flRoot) / Jroot; | ||
} | ||
else if (cam16.s !== undefined) { | ||
alpha = 0.0004 * (cam16.s ** 2) * (env.aW + 4) / env.c; | ||
} | ||
const t = spow( | ||
alpha * Math.pow(1.64 - Math.pow(0.29, env.n), -0.73), | ||
10 / 9 | ||
); | ||
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// Eccentricity | ||
const et = 0.25 * (Math.cos(hRad + 2) + 3.8); | ||
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// Achromatic response | ||
const A = env.aW * spow(Jroot, 2 / env.c / env.z); | ||
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// Calculate red-green and yellow-blue components | ||
const p1 = 5e4 / 13 * env.nc * env.ncb * et; | ||
const p2 = A / env.nbb; | ||
const r = ( | ||
23 * (p2 + 0.305) * | ||
zdiv(t, 23 * p1 + t * (11 * cosh + 108 * sinh)) | ||
); | ||
const a = r * cosh; | ||
const b = r * sinh; | ||
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// Calculate back from cone response to XYZ | ||
const rgb_c = unadapt( | ||
multiplyMatrices(m1, [p2, a, b]).map(c => { | ||
return c * 1 / 1403; | ||
}), | ||
env.fl | ||
); | ||
return multiplyMatrices( | ||
cat16Inv, | ||
rgb_c.map((c, i) => { | ||
return c * env.dRgbInv[i]; | ||
}) | ||
).map(c => { | ||
return c / 100; | ||
}); | ||
} | ||
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export function toCam16 (xyzd65, env) { | ||
// Cone response | ||
const xyz100 = xyzd65.map(c => { | ||
return c * 100; | ||
}); | ||
const rgbA = adapt( | ||
multiplyMatrices(cat16, xyz100).map((c, i) => { | ||
return c * env.dRgb[i]; | ||
}), | ||
env.fl | ||
); | ||
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// Calculate hue from red-green and yellow-blue components | ||
const a = rgbA[0] + (-12 * rgbA[1] + rgbA[2]) / 11; | ||
const b = (rgbA[0] + rgbA[1] - 2 * rgbA[2]) / 9; | ||
const hRad = ((Math.atan2(b, a) % tau) + tau) % tau; | ||
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// Eccentricity | ||
const et = 0.25 * (Math.cos(hRad + 2) + 3.8); | ||
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const t = ( | ||
5e4 / 13 * env.nc * env.ncb * | ||
zdiv( | ||
et * Math.sqrt(a ** 2 + b ** 2), | ||
rgbA[0] + rgbA[1] + 1.05 * rgbA[2] + 0.305 | ||
) | ||
); | ||
const alpha = spow(t, 0.9) * Math.pow(1.64 - Math.pow(0.29, env.n), 0.73); | ||
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// Achromatic response | ||
const A = env.nbb * (2 * rgbA[0] + rgbA[1] + 0.05 * rgbA[2]); | ||
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const Jroot = spow(A / env.aW, 0.5 * env.c * env.z); | ||
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// Lightness | ||
const J = 100 * spow(Jroot, 2); | ||
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// Brightness | ||
const Q = (4 / env.c * Jroot * (env.aW + 4) * env.flRoot); | ||
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// Chroma | ||
const C = alpha * Jroot; | ||
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// Colorfulness | ||
const M = C * env.flRoot; | ||
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// Hue | ||
const h = constrain(hRad * rad2deg); | ||
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// Hue quadrature | ||
const H = hueQuadrature(h); | ||
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// Saturation | ||
const s = 50 * spow(env.c * alpha / (env.aW + 4), 1 / 2); | ||
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// console.log({J: J, C: C, h: h, s: s, Q: Q, M: M, H: H}); | ||
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return {J: J, C: C, h: h, s: s, Q: Q, M: M, H: H}; | ||
} | ||
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// Provided as a way to directly evaluate the CAM16 model | ||
// https://observablehq.com/@jrus/cam16: reference implementation | ||
// https://arxiv.org/pdf/1802.06067.pdf: Nico Schlömer | ||
// https://onlinelibrary.wiley.com/doi/pdf/10.1002/col.22324: hue quadrature | ||
// https://doi.org/10.1002/col.22131: pay walled | ||
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// Results compared against: https://github.com/colour-science/colour | ||
export default new ColorSpace({ | ||
id: "cam16-jmh", | ||
name: "CAM16-JMh", | ||
coords: { | ||
j: { | ||
refRange: [0, 100], | ||
name: "J", | ||
}, | ||
m: { | ||
refRange: [0, 105.0], | ||
name: "Colorfulness", | ||
}, | ||
h: { | ||
refRange: [0, 360], | ||
type: "angle", | ||
name: "Hue", | ||
} | ||
}, | ||
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base: xyz_d65, | ||
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fromBase (xyz) { | ||
const cam16 = toCam16(xyz, viewingConditions); | ||
return [cam16.J, cam16.M, cam16.h]; | ||
}, | ||
toBase (cam16) { | ||
return fromCam16( | ||
{J: cam16[0], M: cam16[1], h: cam16[2]}, | ||
viewingConditions | ||
); | ||
}, | ||
formats: { | ||
color: {} | ||
}, | ||
}); |
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A shame that Li et al only give M16 to 7 figures, but there we are