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epubreader/public/pixastic/pixastic.js

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2020-04-21 20:37:42 +00:00
/*!
* Pixastic - JavaScript Image Processing
* http://pixastic.com/
* Copyright 2012, Jacob Seidelin
*
* Dual licensed under the MPL 1.1 or GPLv3 licenses.
* http://pixastic.com/license-mpl.txt
* http://pixastic.com/license-gpl-3.0.txt
*
*/
var Pixastic = (function() {
var worker;
function createImageData(ctx, width, height) {
if (ctx.createImageData) {
return ctx.createImageData(width, height);
} else {
return ctx.getImageData(0, 0, width, height);
}
}
function Pixastic(ctx, workerControlPath) {
var P = {},
width = ctx.canvas.width,
height = ctx.canvas.height,
queue = [],
workerControlPath = workerControlPath || "";
if (!worker) {
if (typeof window.Worker != "undefined") {
try {
worker = new window.Worker(workerControlPath + "pixastic.worker.control.js");
} catch(e) {
if (location.protocol == "file:") {
Pixastic.log("Could not create native worker, running from file://")
} else {
Pixastic.log("Could not create native worker.")
}
}
}
if (!worker) {
worker = new Pixastic.Worker();
}
}
for (var e in Pixastic.Effects) {
if (Pixastic.Effects.hasOwnProperty(e)) {
(function(e) {
P[e] = function(options) {
queue.push({
effect : e,
options : options
});
return P;
}
P.done = function(callback, progress) {
var inData, outData;
try {
inData = ctx.getImageData(0, 0, width, height);
} catch(e) {
if (location.protocol == "file:") {
throw new Error("Could not access image data, running from file://");
} else {
throw new Error("Could not access image data, is canvas tainted by cross-origin data?");
}
}
outData = createImageData(ctx, width, height);
worker.postMessage({
queue : queue,
inData : inData,
outData : outData,
width : width,
height : height
});
worker.onmessage = function(message) {
var d = message.data;
switch (d.event) {
case "done" :
ctx.putImageData(d.data, 0, 0);
if (callback) {
callback();
}
if (progress) {
progress(1);
}
break;
case "progress" :
if (progress) {
progress(d.data);
}
break;
case "error" :
break;
}
}
if (progress) {
progress(0);
}
}
})(e);
}
}
return P;
}
Pixastic.Worker = function() {
var me = this;
function processMessage(data) {
var queue = data.queue,
inData = data.inData,
outData = data.outData,
width = data.width,
height = data.height,
tmpData;
for (var i=0;i<queue.length;i++) {
var e = queue[i].effect,
options = queue[i].options,
progressCallback;
if (i > 0) {
tmpData = inData;
inData = outData;
outData = tmpData;
}
if (typeof importScripts == "function") {
progressCallback = function(p) {
me.onmessage({
data : {
event : "progress",
data : (i + p) / queue.length
}
});
return p;
}
}
Pixastic.Effects[e](inData.data, outData.data, width, height, options, progressCallback);
me.onmessage({
data : {
event : "progress",
data : (i+1) / queue.length
}
});
}
me.onmessage({
data : {
event : "done",
data : outData
}
});
}
this.postMessage = function(data) {
setTimeout(function() {
processMessage(data)
}, 0);
};
this.onmessage = function() {};
}
Pixastic.log = function(str) {
if (typeof console != "undefined" && console.log) {
console.log("Pixastic: " + str);
}
};
function toCanvas(o) {
var canvas;
if (typeof o == "object") {
if (typeof o.tagName == "string") {
if (o.tagName.toLowerCase() == "canvas" || o.tagName.toLowerCase() == "img") {
canvas = document.createElement("canvas");
canvas.width = o.width;
canvas.height = o.height;
canvas.getContext("2d").drawImage(o, 0,0);
}
} else if ((window.ImageData && o instanceof window.ImageData)
|| (typeof o.width == "number" && typeof o.height == "number" && typeof o.data == "object")) {
canvas = document.createElement("canvas");
canvas.width = o.width;
canvas.height = o.height;
canvas.getContext("2d").putImageData(o, 0, 0);
}
}
return canvas;
};
function toImage(o) {
var canvas = toCanvas(o),
image = new Image();
image.width = canvas.width;
image.height = canvas.height;
image.src = canvas.toDataURL();
return image;
};
function toImageData(o) {
var canvas = toCanvas(o),
ctx = canvas.getContext("2d");
return ctx.getImageData(0, 0, canvas.width, canvas.height);
};
function histogram(imageData) {
var values = [],
i, p,
data = imageData.data,
round = Math.round,
maxValue,
n = imageData.width * imageData.height;
for (i=0;i<256;i++) {
values[i] = 0;
}
for (i=0;i<n;i++) {
p = i * 4;
values[ round((data[p]+data[p+1]+data[p+2])/3) ]++;
}
maxValue = 0;
for (i=0;i<256;i++) {
if (values[i] > maxValue) {
maxValue = values[i];
}
}
return {
maxValue : maxValue,
values : values
};
}
Pixastic.toCanvas = toCanvas;
Pixastic.toImage = toImage;
Pixastic.toImageData = toImageData;
Pixastic.histogram = histogram;
Pixastic.Color = {
rgb2hsl : function(r, g, b) {
if (r < 0) r = 0;
if (g < 0) g = 0;
if (b < 0) b = 0;
if (r > 255) r = 0;
if (g > 255) g = 0;
if (b > 255) b = 0;
},
rgb2hsv : function(r, g, b) {
},
rgb2hex : function(r, g, b) {
},
hsl2rgb : function(h, s, l) {
},
hsv2rgb : function(h, s, v) {
}
}
return Pixastic;
})();