/* Author: James Cryer Company: Huddle Last updated date: 21 Feb 2013 URL: https://github.com/Huddle/Resemble.js */ (function(_this){ 'use strict'; _this['resemble'] = function( fileData ){ var data = {}; var images = []; var updateCallbackArray = []; var tolerance = { // between 0 and 255 red: 16, green: 16, blue: 16, minBrightness: 16, maxBrightness: 240 }; var ignoreAntialiasing = false; var ignoreColors = false; function triggerDataUpdate(){ var len = updateCallbackArray.length; var i; for(i=0;i tolerance.maxBrightness; } function getHue(r,g,b){ r = r / 255; g = g / 255; b = b / 255; var max = Math.max(r, g, b), min = Math.min(r, g, b); var h; var d; if (max == min){ h = 0; // achromatic } else{ d = max - min; switch(max){ case r: h = (g - b) / d + (g < b ? 6 : 0); break; case g: h = (b - r) / d + 2; break; case b: h = (r - g) / d + 4; break; } h /= 6; } return h; } function isAntialiased(sourcePix, data, cacheSet, verticalPos, horizontalPos, width){ var offset; var targetPix; var distance = 1; var i; var j; var hasHighContrastSibling = 0; var hasSiblingWithDifferentHue = 0; var hasEquivilantSibling = 0; addHueInfo(sourcePix); for (i = distance*-1; i <= distance; i++){ for (j = distance*-1; j <= distance; j++){ if(i===0 && j===0){ // ignore source pixel } else { offset = ((verticalPos+j)*width + (horizontalPos+i)) * 4; targetPix = getPixelInfo(data, offset, cacheSet); if(targetPix === null){ continue; } addBrightnessInfo(targetPix); addHueInfo(targetPix); if( isContrasting(sourcePix, targetPix) ){ hasHighContrastSibling++; } if( isRGBSame(sourcePix,targetPix) ){ hasEquivilantSibling++; } if( Math.abs(targetPix.h - sourcePix.h) > 0.3 ){ hasSiblingWithDifferentHue++; } if( hasSiblingWithDifferentHue > 1 || hasHighContrastSibling > 1){ return true; } } } } if(hasEquivilantSibling < 2){ return true; } return false; } function errorPixel(px, offset){ px[offset] = 255; //r px[offset + 1] = 0; //g px[offset + 2] = 255; //b px[offset + 3] = 255; //a } function copyPixel(px, offset, data){ px[offset] = data.r; //r px[offset + 1] = data.g; //g px[offset + 2] = data.b; //b px[offset + 3] = 255; //a } function copyGrayScalePixel(px, offset, data){ px[offset] = data.brightness; //r px[offset + 1] = data.brightness; //g px[offset + 2] = data.brightness; //b px[offset + 3] = 255; //a } function getPixelInfo(data, offset, cacheSet){ var r; var g; var b; var d; if(typeof data[offset] !== 'undefined'){ r = data[offset]; g = data[offset+1]; b = data[offset+2]; d = { r: r, g: g, b: b }; return d; } else { return null; } } function addBrightnessInfo(data){ data.brightness = getBrightness(data.r,data.g,data.b); // 'corrected' lightness } function addHueInfo(data){ data.h = getHue(data.r,data.g,data.b); } function analyseImages(img1, img2, width, height){ var hiddenCanvas = document.createElement('canvas'); var data1 = img1.data; var data2 = img2.data; hiddenCanvas.width = width; hiddenCanvas.height = height; var context = hiddenCanvas.getContext('2d'); var imgd = context.createImageData(width,height); var targetPix = imgd.data; var mismatchCount = 0; var time = Date.now(); var skip; if( (width > 1200 || height > 1200) && ignoreAntialiasing){ skip = 6; } loop(height, width, function(verticalPos, horizontalPos){ if(skip){ // only skip if the image isn't small if(verticalPos % skip === 0 || horizontalPos % skip === 0){ return; } } var offset = (verticalPos*width + horizontalPos) * 4; var pixel1 = getPixelInfo(data1, offset, 1); var pixel2 = getPixelInfo(data2, offset, 2); if(pixel1 === null || pixel2 === null){ return; } if (ignoreColors){ addBrightnessInfo(pixel1); addBrightnessInfo(pixel2); if( isPixelBrightnessSimilar(pixel1, pixel2) ){ copyGrayScalePixel(targetPix, offset, pixel2); } else { errorPixel(targetPix, offset); mismatchCount++; } return; } if( isRGBSimilar(pixel1, pixel2) ){ copyPixel(targetPix, offset, pixel2); } else if( ignoreAntialiasing && ( addBrightnessInfo(pixel1), // jit pixel info augmentation looks a little weird, sorry. addBrightnessInfo(pixel2), isAntialiased(pixel1, data1, 1, verticalPos, horizontalPos, width) || isAntialiased(pixel2, data2, 2, verticalPos, horizontalPos, width) )){ if( isPixelBrightnessSimilar(pixel1, pixel2) ){ copyGrayScalePixel(targetPix, offset, pixel2); } else { errorPixel(targetPix, offset); mismatchCount++; } } else { errorPixel(targetPix, offset); mismatchCount++; } }); data.misMatchPercentage = (mismatchCount / (height*width) * 100).toFixed(2); data.analysisTime = Date.now() - time; data.getImageDataUrl = function(text){ var barHeight = 0; if(text){ barHeight = addLabel(text,context,hiddenCanvas); } context.putImageData(imgd, 0, barHeight); return hiddenCanvas.toDataURL("image/png"); }; } function addLabel(text, context, hiddenCanvas){ var textPadding = 2; context.font = '12px sans-serif'; var textWidth = context.measureText(text).width + textPadding*2; var barHeight = 22; if(textWidth > hiddenCanvas.width){ hiddenCanvas.width = textWidth; } hiddenCanvas.height += barHeight; context.fillStyle = "#666"; context.fillRect(0,0,hiddenCanvas.width,barHeight -4); context.fillStyle = "#fff"; context.fillRect(0,barHeight -4,hiddenCanvas.width, 4); context.fillStyle = "#fff"; context.textBaseline = "top"; context.font = '12px sans-serif'; context.fillText(text, textPadding, 1); return barHeight; } function normalise(img, w, h){ var c; var context; if(img.height < h || img.width < w){ c = document.createElement('canvas'); c.width = w; c.height = h; context = c.getContext('2d'); context.putImageData(img, 0, 0); return context.getImageData(0, 0, w, h); } return img; } function compare(one, two){ function onceWeHaveBoth(){ var width; var height; if(images.length === 2){ width = images[0].width > images[1].width ? images[0].width : images[1].width; height = images[0].height > images[1].height ? images[0].height : images[1].height; if( (images[0].width === images[1].width) && (images[0].height === images[1].height) ){ data.isSameDimensions = true; } else { data.isSameDimensions = false; } analyseImages( normalise(images[0],width, height), normalise(images[1],width, height), width, height); triggerDataUpdate(); } } images = []; loadImageData(one, onceWeHaveBoth); loadImageData(two, onceWeHaveBoth); } function getCompareApi(param){ var secondFileData, hasMethod = typeof param === 'function'; if( !hasMethod ){ // assume it's file data secondFileData = param; } var self = { ignoreNothing: function(){ tolerance.red = 16; tolerance.green = 16; tolerance.blue = 16; tolerance.minBrightness = 16; tolerance.maxBrightness = 240; ignoreAntialiasing = false; ignoreColors = false; if(hasMethod) { param(); } return self; }, ignoreAntialiasing: function(){ tolerance.red = 32; tolerance.green = 32; tolerance.blue = 32; tolerance.minBrightness = 64; tolerance.maxBrightness = 96; ignoreAntialiasing = true; ignoreColors = false; if(hasMethod) { param(); } return self; }, ignoreColors: function(){ tolerance.minBrightness = 16; tolerance.maxBrightness = 240; ignoreAntialiasing = false; ignoreColors = true; if(hasMethod) { param(); } return self; }, onComplete: function( callback ){ updateCallbackArray.push(callback); var wrapper = function(){ compare(fileData, secondFileData); }; wrapper(); return getCompareApi(wrapper); } }; return self; } return { onComplete: function( callback ){ updateCallbackArray.push(callback); loadImageData(fileData, function(imageData, width, height){ parseImage(imageData.data, width, height); }); }, compareTo: function(secondFileData){ return getCompareApi(secondFileData); } }; }; }(this));