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chromatic-noise-frosted.js
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const canvasSketch = require('canvas-sketch');
const { mapRange, linspace, lerp } = require('canvas-sketch-util/math');
const Random = require('canvas-sketch-util/random');
const { clipPolylinesToBox } = require('canvas-sketch-util/geometry');
const MarchingSquaresJS = require('marchingsquares');
const stackblur = require('stackblur');
const settings = {
animate: true,
duration: 4,
dimensions: [1080, 1080],
scaleToView: false,
};
const config = {
resolution: 128 * 2,
frequency: 0.75,
amplitude: 1,
};
const gridSize = [config.resolution, config.resolution];
Random.setSeed('chromatic-noise-frosted');
canvasSketch(() => {
return ({ context, width, height, playhead }) => {
context.clearRect(0, 0, width, height);
// context.fillStyle = '#2a0481';
context.fillStyle = '#131217'; // '#001';
context.fillRect(0, 0, width, height);
const padding = height * 0.2;
const off = 0.005;
const config = [
{
time: Math.sin(playhead * Math.PI - Math.PI * off * 3),
color: '#FF0000',
},
{
time: Math.sin(playhead * Math.PI - Math.PI * off * 2),
color: '#00FF00',
},
{
time: Math.sin(playhead * Math.PI - Math.PI * off),
color: '#0000FF',
},
{ time: Math.sin(playhead * Math.PI), color: '#fff' },
];
let data = config.map((c) => ({
color: c.color,
data: noiseData(c.time, padding, width, height),
}));
const bands = data.map((c) => ({
color: c.color,
lines: drawIsoLines(c.data, [width, height]),
}));
context.lineWidth = 24;
bands.forEach((l) => {
drawLines(l.lines, l.color, context);
});
// Apply blur
const imageData = context.getImageData(0, 0, width, height);
stackblur(imageData.data, width, height, 24);
context.putImageData(imageData, 0, 0);
};
}, settings);
function noiseData(time, padding, width, height) {
const data = [];
for (let y = 0; y < gridSize[1]; y++) {
data[y] = [];
for (let x = 0; x < gridSize[0]; x++) {
// get a 0..1 UV coordinate
const u = gridSize[0] <= 1 ? 0.5 : x / (gridSize[0] - 1);
const v = gridSize[1] <= 1 ? 0.5 : y / (gridSize[1] - 1);
// scale to dimensions with a border padding
const t = {
x: lerp(padding, width - padding, u),
y: lerp(padding, height - padding, v),
};
const _n = Random.noise3D(
x / (gridSize[0] * 0.75),
y / (gridSize[1] * 0.75),
time * 0.5,
config.frequency,
config.amplitude
);
const n = mapRange(_n, -1, 1, 0, 1);
data[y].push(n);
}
}
return data;
}
function drawIsoLines(noiseData, [sizeX, sizeY]) {
const intervals = linspace(12);
const lines = [];
intervals.forEach((_, idx) => {
if (idx > 0) {
const lowerBand = intervals[idx - 1];
const upperBand = intervals[idx];
MarchingSquaresJS.isoBands(noiseData, lowerBand, upperBand - lowerBand, {
successCallback(bands) {
bands.forEach((band) => {
const scaledBand = band.map(([x, y]) => {
return [
mapRange(x, 0, gridSize[0] - 1, 0, sizeX),
mapRange(y, 0, gridSize[1] - 1, 0, sizeY),
];
});
lines.push(drawShape(scaledBand));
});
},
noQuadTree: true,
noFrame: true,
});
}
});
const margin = sizeY * 0.04;
return clipPolylinesToBox(lines, [
margin,
margin,
sizeX - margin,
sizeY - margin,
]);
}
function drawLines(lines, color, context) {
context.strokeStyle = color;
lines.forEach((line) => {
const [start, ...pts] = line;
context.beginPath();
context.moveTo(...start);
pts.forEach((pt) => {
context.lineTo(...pt);
});
context.stroke();
});
}
function drawShape([start, ...pts]) {
return [start, ...pts, start];
}