smatchit_tailwind_project/node_modules/culori/src/deficiency.js

import converter from './converter.js';
import prepare from './_prepare.js';
import { lerp } from './interpolate/lerp.js';

let rgb = converter('rgb');

/*
	Color vision deficiency (CVD) simulation based on:

		G. M. Machado, M. M. Oliveira and L. A. F. Fernandes, 
		"A Physiologically-based Model for Simulation of Color Vision Deficiency" 
		in IEEE Transactions on Visualization and Computer Graphics, 
		vol. 15, no. 6, pp. 1291-1298, Nov.-Dec. 2009, 
		doi: 10.1109/TVCG.2009.113.

	Functions use precomputed matrices from:

		https://www.inf.ufrgs.br/~oliveira/pubs_files/CVD_Simulation/CVD_Simulation.html

	Via the `colorspace` R package documentation:

		http://colorspace.r-forge.r-project.org/reference/simulate_cvd.html
 */

const PROT = [
	[1.0, 0.0, -0.0, 0.0, 1.0, 0.0, -0.0, -0.0, 1.0],
	[
		0.856167, 0.182038, -0.038205, 0.029342, 0.955115, 0.015544, -0.00288,
		-0.001563, 1.004443
	],
	[
		0.734766, 0.334872, -0.069637, 0.05184, 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
	],
	[
		0.38545, 0.769005, -0.154455, 0.100526, 0.829802, 0.069673, -0.007442,
		-0.02219, 1.029632
	],
	[
		0.319627, 0.849633, -0.169261, 0.106241, 0.815969, 0.07779, -0.007025,
		-0.028051, 1.035076
	],
	[
		0.259411, 0.923008, -0.18242, 0.110296, 0.80434, 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
	]
];

const DEUTER = [
	[1.0, 0.0, -0.0, 0.0, 1.0, 0.0, -0.0, -0.0, 1.0],
	[
		0.866435, 0.177704, -0.044139, 0.049567, 0.939063, 0.01137, -0.003453,
		0.007233, 0.99622
	],
	[
		0.760729, 0.319078, -0.079807, 0.090568, 0.889315, 0.020117, -0.006027,
		0.013325, 0.992702
	],
	[
		0.675425, 0.43385, -0.109275, 0.125303, 0.847755, 0.026942, -0.00795,
		0.018572, 0.989378
	],
	[
		0.605511, 0.52856, -0.134071, 0.155318, 0.812366, 0.032316, -0.009376,
		0.023176, 0.9862
	],
	[
		0.547494, 0.607765, -0.155259, 0.181692, 0.781742, 0.036566, -0.01041,
		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, -0.18967, 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, 0.82361, -0.216562, 0.263559, 0.69021, 0.046232, -0.01191,
		0.040281, 0.97163
	],
	[
		0.367322, 0.860646, -0.227968, 0.280085, 0.672501, 0.047413, -0.01182,
		0.04294, 0.968881
	]
];

const TRIT = [
	[1.0, 0.0, -0.0, 0.0, 1.0, 0.0, -0.0, -0.0, 1.0],
	[
		0.92667, 0.092514, -0.019184, 0.021191, 0.964503, 0.014306, 0.008437,
		0.054813, 0.93675
	],
	[
		0.89572, 0.13333, -0.02905, 0.029997, 0.9454, 0.024603, 0.013027,
		0.104707, 0.882266
	],
	[
		0.905871, 0.127791, -0.033662, 0.026856, 0.941251, 0.031893, 0.01341,
		0.148296, 0.838294
	],
	[
		0.948035, 0.08949, -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, 0.97941, 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, 0.3039
	]
];

const deficiency = (lut, t) => {
	let tt = Math.max(0, Math.min(1, t));
	let i = Math.round(tt / 0.1);
	let w = Math.round(tt % 0.1);
	let arr = lut[i];
	if (w > 0 && i < lut.length - 1) {
		let arr_2 = lut[i + 1];
		arr = arr.map((v, idx) => lerp(arr[idx], arr_2[idx], w));
	}
	return color => {
		let c = prepare(color);
		if (c === undefined) {
			return undefined;
		}
		let { r, g, b } = rgb(c);
		let ret = {
			mode: 'rgb',
			r: arr[0] * r + arr[1] * g + arr[2] * b,
			g: arr[3] * r + arr[4] * g + arr[5] * b,
			b: arr[6] * r + arr[7] * g + arr[8] * b
		};
		if (c.alpha !== undefined) {
			ret.alpha = c.alpha;
		}
		return converter(c.mode)(ret);
	};
};

export const filterDeficiencyProt = (severity = 1) =>
	deficiency(PROT, severity);
export const filterDeficiencyDeuter = (severity = 1) =>
	deficiency(DEUTER, severity);
export const filterDeficiencyTrit = (severity = 1) =>
	deficiency(TRIT, severity);