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machado_colorblind_simulation.js
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machado_colorblind_simulation.js
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// Matrixes taken from
// https://www.inf.ufrgs.br/~oliveira/pubs_files/CVD_Simulation/CVD_Simulation.html
/*
Gustavo M. Machado, Manuel M. Oliveira, and Leandro A. F. Fernandes
"A Physiologically-based Model for Simulation of Color Vision Deficiency".
IEEE Transactions on Visualization and Computer Graphics. Volume 15 (2009),
Number 6, November/December 2009. pp. 1291-1298.
*/
var getMachadoMatrix = (function () {
const machadoMatrixes = {
'Protanomaly': new Float64Array([
1.000000, 0.000000, -0.000000,
0.000000, 1.000000, 0.000000,
-0.000000, -0.000000, 1.000000,
0.856167, 0.182038, -0.038205,
0.029342, 0.955115, 0.015544,
-0.002880, -0.001563, 1.004443,
0.734766, 0.334872, -0.069637,
0.051840, 0.919198, 0.028963,
-0.004928, -0.004209, 1.009137,
0.630323, 0.465641, -0.095964,
0.069181, 0.890046, 0.040773,
-0.006308, -0.007724, 1.014032,
0.539009, 0.579343, -0.118352,
0.082546, 0.866121, 0.051332,
-0.007136, -0.011959, 1.019095,
0.458064, 0.679578, -0.137642,
0.092785, 0.846313, 0.060902,
-0.007494, -0.016807, 1.024301,
0.385450, 0.769005, -0.154455,
0.100526, 0.829802, 0.069673,
-0.007442, -0.022190, 1.029632,
0.319627, 0.849633, -0.169261,
0.106241, 0.815969, 0.077790,
-0.007025, -0.028051, 1.035076,
0.259411, 0.923008, -0.182420,
0.110296, 0.804340, 0.085364,
-0.006276, -0.034346, 1.040622,
0.203876, 0.990338, -0.194214,
0.112975, 0.794542, 0.092483,
-0.005222, -0.041043, 1.046265,
0.152286, 1.052583, -0.204868,
0.114503, 0.786281, 0.099216,
-0.003882, -0.048116, 1.051998,
]),
'Deuteranomaly': new Float64Array([
1.000000, 0.000000, -0.000000,
0.000000, 1.000000, 0.000000,
-0.000000, -0.000000, 1.000000,
0.866435, 0.177704, -0.044139,
0.049567, 0.939063, 0.011370,
-0.003453, 0.007233, 0.996220,
0.760729, 0.319078, -0.079807,
0.090568, 0.889315, 0.020117,
-0.006027, 0.013325, 0.992702,
0.675425, 0.433850, -0.109275,
0.125303, 0.847755, 0.026942,
-0.007950, 0.018572, 0.989378,
0.605511, 0.528560, -0.134071,
0.155318, 0.812366, 0.032316,
-0.009376, 0.023176, 0.986200,
0.547494, 0.607765, -0.155259,
0.181692, 0.781742, 0.036566,
-0.010410, 0.027275, 0.983136,
0.498864, 0.674741, -0.173604,
0.205199, 0.754872, 0.039929,
-0.011131, 0.030969, 0.980162,
0.457771, 0.731899, -0.189670,
0.226409, 0.731012, 0.042579,
-0.011595, 0.034333, 0.977261,
0.422823, 0.781057, -0.203881,
0.245752, 0.709602, 0.044646,
-0.011843, 0.037423, 0.974421,
0.392952, 0.823610, -0.216562,
0.263559, 0.690210, 0.046232,
-0.011910, 0.040281, 0.971630,
0.367322, 0.860646, -0.227968,
0.280085, 0.672501, 0.047413,
-0.011820, 0.042940, 0.968881]),
'Tritanomaly': new Float64Array([
1.000000, 0.000000, -0.000000,
0.000000, 1.000000, 0.000000,
-0.000000, -0.000000, 1.000000,
0.926670, 0.092514, -0.019184,
0.021191, 0.964503, 0.014306,
0.008437, 0.054813, 0.936750,
0.895720, 0.133330, -0.029050,
0.029997, 0.945400, 0.024603,
0.013027, 0.104707, 0.882266,
0.905871, 0.127791, -0.033662,
0.026856, 0.941251, 0.031893,
0.013410, 0.148296, 0.838294,
0.948035, 0.089490, -0.037526,
0.014364, 0.946792, 0.038844,
0.010853, 0.193991, 0.795156,
1.017277, 0.027029, -0.044306,
-0.006113, 0.958479, 0.047634,
0.006379, 0.248708, 0.744913,
1.104996, -0.046633, -0.058363,
-0.032137, 0.971635, 0.060503,
0.001336, 0.317922, 0.680742,
1.193214, -0.109812, -0.083402,
-0.058496, 0.979410, 0.079086,
-0.002346, 0.403492, 0.598854,
1.257728, -0.139648, -0.118081,
-0.078003, 0.975409, 0.102594,
-0.003316, 0.501214, 0.502102,
1.278864, -0.125333, -0.153531,
-0.084748, 0.957674, 0.127074,
-0.000989, 0.601151, 0.399838,
1.255528, -0.076749, -0.178779,
-0.078411, 0.930809, 0.147602,
0.004733, 0.691367, 0.303900]),
};
function getForSeverityStep(full, step) {
console.log(step)
if (step < 0 || step > 10) {
throw "invalid step " + step
}
return full.subarray(step * 9, step * 9 + 9)
}
return function (type, severity) {
console.log(type, severity)
if (type == "Normal") {
return function (rgb) { return rgb; };
}
type = type.split(/_/)
if (!(type[0] in machadoMatrixes)) {
throw "unknown type" + type;
}
if (severity>100 || severity < 0) {
throw "invlid severity";
}
const full = machadoMatrixes[type[0]];
var matrix;
if (severity == 100) {
matrix = getForSeverityStep(full, 10)
} else {
const step = Math.floor(severity / 10);
const nextstep = Math.ceil(severity / 10);
const weight = (severity - step * 10) / 10;
const weightInv = 1 - weight;
const prevMatrix = getForSeverityStep(full, step)
const nextMatrix = getForSeverityStep(full, nextstep)
matrix = new Float64Array(9);
matrix[0] = prevMatrix[0] * weightInv + nextMatrix[0] * weight;
matrix[1] = prevMatrix[1] * weightInv + nextMatrix[1] * weight;
matrix[2] = prevMatrix[2] * weightInv + nextMatrix[2] * weight;
matrix[3] = prevMatrix[3] * weightInv + nextMatrix[3] * weight;
matrix[4] = prevMatrix[4] * weightInv + nextMatrix[4] * weight;
matrix[5] = prevMatrix[5] * weightInv + nextMatrix[5] * weight;
matrix[6] = prevMatrix[6] * weightInv + nextMatrix[6] * weight;
matrix[7] = prevMatrix[7] * weightInv + nextMatrix[7] * weight;
matrix[8] = prevMatrix[8] * weightInv + nextMatrix[8] * weight;
}
return function(rgb) {
const r = sRGB_to_linearRGB_Lookup[rgb[0]];
const g = sRGB_to_linearRGB_Lookup[rgb[1]];
const b = sRGB_to_linearRGB_Lookup[rgb[2]];
const result = [
sRGB_from_linearRGB(matrix[0] * r + matrix[1] * g + matrix[2] * b),
sRGB_from_linearRGB(matrix[3] * r + matrix[4] * g + matrix[5] * b),
sRGB_from_linearRGB(matrix[6] * r + matrix[7] * g + matrix[8] * b),
];
return result;
};
}
})()