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index.html
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<!DOCTYPE html>
<meta charset="utf-8">
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
<script src="emojiColors.js"></script>
<script src="poisson-disc-sampler.js"></script>
<h1>Emoji Mosaic</h1>
<p>Upload an image to turn into a mosaic. Be patient, processing may take a moment.</p>
<input type="file">
<BR>
<script>
emojiMap = loadEmojis();
emojiInts = emojiPoints();
function loadEmojis(){
var colorMap = {};
for (var i=0; i<emojiColors.length; i++){
if ( emojiColors[i] == 'false' ) {
continue;
}
fileNumber = pad(i+1 , 4);
img = 'resized-emoji-images/' + fileNumber + '.png';
colorMap[emojiColors[i]] = img
}
return colorMap;
}
function pad(num, size){ return ('000' + num).substr(-size); }
/**
* For a given RGB color, find the closest match Emoji.
*
* @param {array} RGB color value.
* @return {string} Emoji filepath.
*/
var closestEmoji = function(color) {
var distance = 99999999;
var c, d, p;
for (var i=0; i<emojiInts.length; i++){
p = emojiInts[i];
d = Math.sqrt( Math.pow((color[0]-p[0]), 2) + Math.pow((color[1]-p[1]), 2) + Math.pow((color[2]-p[2]), 2) );
if (d < distance){
distance = d;
c = p[3];
}
}
return emojiMap[c];
}
function emojiPoints(){
var pointArray = [];
var c, r, g, b;
for (var i=0; i<emojiColors.length; i++){
c = emojiColors[i];
r = parseInt("0x"+c.substr(1,2));
g = parseInt("0x"+c.substr(3,2));
b = parseInt("0x"+c.substr(5,2));
pointArray.push([r, g, b, c]);
}
return pointArray;
}
/**
* Create a new Emoji Mosaic.
*
* @param {string} dataURI
*/
function EmojiMosaic(dataURI) {
var img = this.img = new Image;
this.dataURI = dataURI;
img.addEventListener( 'load', this.imageLoaded.bind( this ) );
img.src = this.dataURI;
}
/**
* After the image is loaded, create the layout.
*/
EmojiMosaic.prototype.imageLoaded = function() {
var margin,
width,
height,
createSample,
samples,
ratio;
margin = 100;
// If the image is too big, make the dimensions smaller.
ratio = ( window.innerWidth ) / ( this.img.width + margin * 2 );
this.img.height *= ratio;
this.img.width *= ratio;
// A canvas element for extracting image pixel color data.
this.extractionCanvas = document.createElement('canvas');
this.extractionCanvas.width = this.img.width;
this.extractionCanvas.height = this.img.height;
this.extractionCanvasContext = this.extractionCanvas.getContext('2d');
this.extractionCanvasContext.drawImage(this.img, 0, 0, this.extractionCanvas.width, this.extractionCanvas.height );
var saveButton = document.createElement( 'a' );
saveButton.innerHTML = 'Save as image';
document.body.appendChild( saveButton );
var self = this;
// A canvas element that will be drawn to with Emoji.
this.targetCanvas = document.createElement('canvas');
this.targetCanvas.width = this.extractionCanvas.width + margin * 2;
this.targetCanvas.height = this.extractionCanvas.height + margin * 2;
this.targetCanvasContext = this.targetCanvas.getContext('2d');
// Fill a background.
this.targetCanvasContext.fillStyle = '#ffffff';
this.targetCanvasContext.fillRect( 0, 0, this.targetCanvas.width, this.targetCanvas.height );
document.body.appendChild( this.targetCanvas );
createSample = poissonDiscSampler(this.targetCanvas.width, this.targetCanvas.height, 8);
samples = [];
// Create an array of samples (x,y coordinates) to place Emoji in.
while (true) {
var s = createSample();
// If no new sample was can be made, all samples have been created.
if (!s) break;
// Bail if the sample is out of bounds.
if ( s[0] < margin || s[1] < margin ) {
continue;
}
if ( s[0] > this.targetCanvas.width - margin || s[1] > this.targetCanvas.height - margin ) {
continue;
}
samples.push(s);
}
var emojisRendered = 0;
// At each sample, place an Emoji according to the image data at that point.
samples.forEach(function(sample){
var imageData, sums, i, red, green, blue, closest;
// Get image pixel data.
imageData = this.extractionCanvasContext.getImageData(Math.round( sample[0] - margin ), Math.round( sample[1] - margin ), 1, 1);
// Get average color data for an area.
sums = { red: 0, green: 0, blue: 0 };
for ( i = 0; i < imageData.data.length; i++ ) {
switch ( i % 4 ) {
case 0:
sums.red += imageData.data[i];
break;
case 1:
sums.green += imageData.data[i];
break;
case 2:
sums.blue += imageData.data[i];
break;
}
}
red = sums.red / ( imageData.data.length / 4 );
green = sums.green / ( imageData.data.length / 4 );
blue = sums.blue / ( imageData.data.length / 4 );
closest = closestEmoji( [ red, green, blue ] );
emojiImage = new Image();
emojiImage.src = closest;
emojiImage.setAttribute('data-x', (sample[0] - 10 ) );
emojiImage.setAttribute('data-y', (sample[1] - 10 ) );
// After the image is loaded, draw it onto the canvas.
emojiImage.onload = (function(event){
var image = event.target;
this.targetCanvasContext.save();
this.targetCanvasContext.translate( image.getAttribute('data-x'), image.getAttribute('data-y') );
this.targetCanvasContext.rotate( Math.ceil( Math.random() * 360 ) * Math.PI / 180 );
this.targetCanvasContext.drawImage( image, -15, -15, 30, 30 );
this.targetCanvasContext.restore();
emojisRendered++;
if ( emojisRendered === samples.length ) {
var canvasDataURI = self.targetCanvas.toDataURL('image/jpeg'),
blob = dataURItoBlob(canvasDataURI),
url = window.URL.createObjectURL(blob),
a = document.querySelector('a');
a.href = url;
a.download = 'emoji-mosaic.jpg';
}
}).bind(this);
}, this );
}
function dataURItoBlob(dataURI) {
var binary = atob(dataURI.split(',')[1]);
var array = [];
for(var i = 0; i < binary.length; i++) {
array.push(binary.charCodeAt(i));
}
return new Blob([new Uint8Array(array)], {type: 'image/jpeg'});
}
document.addEventListener('DOMContentLoaded', function(event) {
var inputEl = document.querySelector('input');
document.querySelector('input').addEventListener('change', function() {
// When a file is uploaded, initialize
var file = inputEl.files[0];
var reader = new FileReader();
reader.onloadend = function () {
new EmojiMosaic(reader.result);
}
reader.readAsDataURL(file);
});
});
</script>