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<html> | |
<head> | |
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> | |
<title>noisy</title> | |
<script src="https://wgld.org/j/noiseX.js" type="text/javascript"></script> | |
<script type="text/javascript"> | |
let octave = 6; | |
let offset = 4; | |
let persistence = 0.5; | |
let baseWidth = Math.pow(2, octave + offset); | |
let n = new noiseX(octave, offset, persistence); | |
n.setSeed(Date.now()); | |
window.addEventListener('load', () => { | |
let i, j; | |
let canvas; | |
let noiseColor = []; | |
for(i = 0; i < 4; ++i){ | |
noiseColor[i] = genNoise(Date.now()); | |
} | |
canvas = canvasExport(noiseColor, baseWidth); | |
document.body.appendChild(canvas); | |
}, false); | |
function genNoise(seed){ | |
n.setSeed(seed); | |
let i, j; | |
let noiseColor = []; | |
for(i = 0; i < baseWidth; ++i){ | |
for(j = 0; j < baseWidth; ++j){ | |
noiseColor[i * baseWidth + j] = n.snoise(i, j, baseWidth); | |
} | |
} | |
return noiseColor; | |
} | |
function canvasExport(data, width){ | |
let cvs = document.createElement('canvas'); | |
cvs.width = cvs.height = width; | |
let ctx = cvs.getContext('2d'); | |
let cci = ctx.createImageData(width, width); | |
for(let i = 0, j = width * width; i < j; ++i){ | |
cci.data[i * 4] = data[0][i] * 255; | |
cci.data[i * 4 + 1] = data[1][i] * 255; | |
cci.data[i * 4 + 2] = data[2][i] * 255; | |
cci.data[i * 4 + 3] = data[3][i] * 255; | |
} | |
ctx.putImageData(cci, 0, 0); | |
return cvs; | |
}; | |
</script> | |
<style type="text/css"> | |
canvas { | |
margin: 5px; | |
} | |
</style> | |
</head> | |
<body> | |
</body> | |
</html> |
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