You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
225 lines
7.5 KiB
225 lines
7.5 KiB
/*
|
|
* PHOTO STUFF
|
|
*/
|
|
var imgDim = 200;
|
|
var canvas1;
|
|
var context1;
|
|
var canvas2;
|
|
var context2;
|
|
var imgObj;
|
|
var fileReader;
|
|
var rotation = 0;
|
|
|
|
var sourceImage = document.getElementById('sourceImage'); // get reference to img
|
|
var fileInput = document.getElementById('fileInput'); // get reference to file select
|
|
var progressEl = document.getElementById('progress');
|
|
var totalEl = document.getElementById('total');
|
|
|
|
|
|
function initPhotoStuff(){
|
|
canvas1 = document.getElementById('canvas1');
|
|
context1 = canvas1.getContext('2d');
|
|
canvas2 = document.getElementById('canvas2');
|
|
context2 = canvas2.getContext('2d');
|
|
canvas3 = document.getElementById('canvas3');
|
|
context3 = canvas3.getContext('2d');
|
|
initCanvas(context1);
|
|
initCanvas(context2);
|
|
initCanvas(context3);
|
|
|
|
fileInput.onchange = onFileInputChange;
|
|
|
|
document.getElementById('rot-left').onclick = onRotateLeft;
|
|
document.getElementById('rot-right').onclick = onRotateRight;
|
|
document.getElementById('submit-photo').onclick = submitImage;
|
|
|
|
}
|
|
|
|
|
|
function submitImage(){
|
|
var image = new Image(); //create new image holder
|
|
|
|
var canvas = document.getElementById('canvas3'); // choose canvas element to convert
|
|
var dataURL = canvas.toDataURL(); // convert cabvas to data url we can handle
|
|
image.src = dataURL;
|
|
image.className = 'photo-message';
|
|
if ( !image.src || image.src === "data:image/png;base64,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" ) { /* prevent sending of empty messages (data url of blank, thus white, canvas)*/
|
|
return false;
|
|
}
|
|
|
|
var namm = document.getElementById('photo-name').value;
|
|
if( !namm || namm == "" ){
|
|
namm = "anonymous";
|
|
}
|
|
addOutboxItem( parseEmoticons(namm), image.outerHTML );
|
|
|
|
showOverview();
|
|
return false;
|
|
}
|
|
|
|
function initCanvas(context){
|
|
// Debug filling
|
|
context.fillStyle ="#dbbd7a";
|
|
context.fill();
|
|
context.beginPath();
|
|
context.rect(0,0, imgDim, imgDim);
|
|
context.fillStyle = 'white';
|
|
context.fill();
|
|
// context.lineWidth = 7;
|
|
// context.strokeStyle = 'black';
|
|
// context.stroke();
|
|
}
|
|
|
|
// create file reader
|
|
function onFileInputChange(){
|
|
var file = fileInput.files[0]; // get selected file (camera capture)
|
|
fileReader = new FileReader();
|
|
fileReader.onload = onFileReaderLoad; // add onload listener
|
|
fileReader.onprogress = onFileReaderProgress; // add progress listener
|
|
fileReader.readAsDataURL( file ); // get captured image as data URI
|
|
}
|
|
|
|
function onFileReaderProgress(e) {
|
|
if (e.lengthComputable) {
|
|
var progress = parseInt( ((e.loaded / e.total) * 100), 10 );
|
|
console.log(progress);
|
|
progressEl.innerHTML = e.loaded;
|
|
totalEl.innerHTML = e.total;
|
|
}
|
|
}
|
|
function onFileReaderLoad() {
|
|
imgObj = new Image();
|
|
imgObj.src = fileReader.result;
|
|
imgObj.onload = onImageLoad;
|
|
|
|
//for debugging: show image on screen, will be squashed
|
|
sourceImage.src = fileReader.result;
|
|
}
|
|
|
|
function onImageLoad() {
|
|
var w,h;
|
|
var xOffset = 0;
|
|
var yOffset = 0;
|
|
if ( imgObj.width > imgObj.height ) {
|
|
h = imgDim;
|
|
w = imgDim * imgObj.width / imgObj.height;
|
|
xOffset = (imgDim - w) / 2;
|
|
} else {
|
|
w = imgDim;
|
|
h = imgDim * imgObj.height / imgObj.width;
|
|
yOffset = (imgDim - h) / 2;
|
|
}
|
|
context1.drawImage(imgObj, xOffset, yOffset, w, h);
|
|
var imageData = context1.getImageData( 0, 0, canvas1.width, canvas1.height);
|
|
context2.putImageData( monochrome(imageData,128,"atkinson"), 0, 0);
|
|
drawRotated();
|
|
}
|
|
|
|
function onRotateRight(){
|
|
rotation += 90;
|
|
drawRotated();
|
|
}
|
|
function onRotateLeft(){
|
|
rotation -= 90;
|
|
drawRotated();
|
|
}
|
|
function drawRotated(){
|
|
|
|
context3.clearRect(0,0,canvas3.width,canvas3.height);
|
|
context3.save();
|
|
context3.translate(canvas3.width/2,canvas3.height/2);
|
|
context3.rotate(rotation * Math.PI / 180);
|
|
context3.translate(-canvas3.width/2,-canvas3.height/2);
|
|
context3.drawImage( canvas2, 0, 0 );
|
|
context3.restore();
|
|
}
|
|
|
|
|
|
|
|
var bayerThresholdMap = [
|
|
[ 15, 135, 45, 165 ],
|
|
[ 195, 75, 225, 105 ],
|
|
[ 60, 180, 30, 150 ],
|
|
[ 240, 120, 210, 90 ]
|
|
];
|
|
|
|
var lumR = [];
|
|
var lumG = [];
|
|
var lumB = [];
|
|
for (var i=0; i<256; i++) {
|
|
lumR[i] = i*0.299;
|
|
lumG[i] = i*0.587;
|
|
lumB[i] = i*0.114;
|
|
}
|
|
|
|
function monochrome(imageData, threshold, type){
|
|
|
|
var imageDataLength = imageData.data.length;
|
|
|
|
// Greyscale luminance (sets r pixels to luminance of rgb)
|
|
for (var i = 0; i <= imageDataLength; i += 4) {
|
|
imageData.data[i] = Math.floor(lumR[imageData.data[i]] + lumG[imageData.data[i+1]] + lumB[imageData.data[i+2]]);
|
|
|
|
|
|
}
|
|
var w = imageData.width;
|
|
var newPixel, err;
|
|
|
|
for (var currentPixel = 0; currentPixel <= imageDataLength; currentPixel+=4) {
|
|
|
|
if (type === "none") {
|
|
// No dithering
|
|
imageData.data[currentPixel] = imageData.data[currentPixel] < threshold ? 0 : 255;
|
|
} else if (type === "bayer") {
|
|
// 4x4 Bayer ordered dithering algorithm
|
|
var x = currentPixel/4 % w;
|
|
var y = Math.floor(currentPixel/4 / w);
|
|
var map = Math.floor( (imageData.data[currentPixel] + bayerThresholdMap[x%4][y%4]) / 2 );
|
|
imageData.data[currentPixel] = (map < threshold) ? 0 : 255;
|
|
} else if (type === "floydsteinberg") {
|
|
// Floyd–Steinberg dithering algorithm
|
|
newPixel = imageData.data[currentPixel] < 129 ? 0 : 255;
|
|
err = Math.floor((imageData.data[currentPixel] - newPixel) / 16);
|
|
imageData.data[currentPixel] = newPixel;
|
|
|
|
imageData.data[currentPixel + 4 ] += err*7;
|
|
imageData.data[currentPixel + 4*w - 4 ] += err*3;
|
|
imageData.data[currentPixel + 4*w ] += err*5;
|
|
imageData.data[currentPixel + 4*w + 4 ] += err*1;
|
|
} else {
|
|
// Bill Atkinson's dithering algorithm
|
|
newPixel = imageData.data[currentPixel] < 129 ? 0 : 255;
|
|
err = Math.floor((imageData.data[currentPixel] - newPixel) / 8);
|
|
imageData.data[currentPixel] = newPixel;
|
|
|
|
imageData.data[currentPixel + 4 ] += err;
|
|
imageData.data[currentPixel + 8 ] += err;
|
|
imageData.data[currentPixel + 4*w - 4 ] += err;
|
|
imageData.data[currentPixel + 4*w ] += err;
|
|
imageData.data[currentPixel + 4*w + 4 ] += err;
|
|
imageData.data[currentPixel + 8*w ] += err;
|
|
}
|
|
|
|
// Set g and b pixels equal to r
|
|
imageData.data[currentPixel + 1] = imageData.data[currentPixel + 2] = imageData.data[currentPixel];
|
|
}
|
|
// Alpha: make white pixels transparent!
|
|
var newColor = {r:0,g:0,b:0, a:0};
|
|
|
|
for ( i = 0, n = imageData.data.length; i <n; i += 4) {
|
|
var r = imageData.data[i],
|
|
g = imageData.data[i+1],
|
|
b = imageData.data[i+2];
|
|
|
|
// If its white, or close to white then change it
|
|
if(r >=200 && g >= 200 && b >= 200){
|
|
// Change the white to whatever.
|
|
imageData.data[i] = newColor.r;
|
|
imageData.data[i+1] = newColor.g;
|
|
imageData.data[i+2] = newColor.b;
|
|
imageData.data[i+3] = newColor.a;
|
|
}
|
|
}
|
|
|
|
return imageData;
|
|
}
|
|
|