移动前端图片压缩上传的实例

filechooser.onchange = function() {
 if (!this.files.length) return;
 var files = Array.prototype.slice.call(this.files);
 if (files.length > 9) {
  alert("最多同时只可上传9张图片");
  return;
 }
 files.forEach(function(file, i) {
  if (!/\/(?:jpeg|png|gif)/i.test(file.type)) return;
  var reader = new FileReader();
  var li = document.createElement("li");
  li.innerHTML = '<div class="progress"><span></span></div>';
  $(".img-list").append($(li));
  reader.onload = function() {
   var result = this.result;
   var img = new Image();
   img.src = result;
   //如果图片大小小于200kb，则直接上传
   if (result.length <= maxsize) {
    $(li).css("background-image", "url(" + result + ")");
    img = null;
    upload(result, file.type, $(li));
    return;
   }
   //图片加载完毕之后进行压缩，然后上传
   if (img.complete) {
    callback();
   } else {
    img.onload = callback;
   }
   function callback() {
    var data = compress(img);
    $(li).css("background-image", "url(" + data + ")");
    upload(data, file.type, $(li));
    img = null;
   }
  };
  reader.readAsDataURL(file);
 })
};

function compress(img) {
 var initSize = img.src.length;
 var width = img.width;
 var height = img.height;
 //如果图片大于四百万像素，计算压缩比并将大小压至400万以下
 var ratio;
 if ((ratio = width * height / 4000000) > 1) {
  ratio = Math.sqrt(ratio);
  width /= ratio;
  height /= ratio;
 } else {
  ratio = 1;
 }
 canvas.width = width;
 canvas.height = height;
 //铺底色
 ctx.fillStyle = "#fff";
 ctx.fillRect(0, 0, canvas.width, canvas.height);
 //如果图片像素大于100万则使用瓦片绘制
 var count;
 if ((count = width * height / 1000000) > 1) {
  count = ~~(Math.sqrt(count) + 1); //计算要分成多少块瓦片
  //计算每块瓦片的宽和高
  var nw = ~~(width / count);
  var nh = ~~(height / count);
  tCanvas.width = nw;
  tCanvas.height = nh;
  for (var i = 0; i < count; i++) {
   for (var j = 0; j < count; j++) {
    tctx.drawImage(img, i * nw * ratio, j * nh * ratio, nw * ratio, nh * ratio, 0, 0, nw, nh);
    ctx.drawImage(tCanvas, i * nw, j * nh, nw, nh);
   }
  }
 } else {
  ctx.drawImage(img, 0, 0, width, height);
 }
 //进行最小压缩
 var ndata = canvas.toDataURL('image/jpeg', 0.1);
 console.log('压缩前：' + initSize);
 console.log('压缩后：' + ndata.length);
 console.log('压缩率：' + ~~(100 * (initSize - ndata.length) / initSize) + "%");
 tCanvas.width = tCanvas.height = canvas.width = canvas.height = 0;
 return ndata;
}

//图片上传，将base64的图片转成二进制对象，塞进formdata上传
function upload(basestr, type, $li) {
 var text = window.atob(basestr.split(",")[1]);
 var buffer = new ArrayBuffer(text.length);
 var ubuffer = new Uint8Array(buffer);
 var pecent = 0,
  loop = null;
 for (var i = 0; i < text.length; i++) {
  ubuffer[i] = text.charCodeAt(i);
 }
 var Builder = window.WebKitBlobBuilder || window.MozBlobBuilder;
 var blob;
 if (Builder) {
  var builder = new Builder();
  builder.append(buffer);
  blob = builder.getBlob(type);
 } else {
  blob = new window.Blob([buffer], {
   type: type
  });
 }
 var xhr = new XMLHttpRequest();
 var formdata = new FormData();
 formdata.append('imagefile', blob);
 xhr.open('post', '/cupload');
 xhr.onreadystatechange = function() {
  if (xhr.readyState == 4 && xhr.status == 200) {
   console.log('上传成功：' + xhr.responseText);
   clearInterval(loop);
   //当收到该消息时上传完毕
   $li.find(".progress span").animate({
    'width': "100%"
   }, pecent < 95 ? 200 : 0, function() {
    $(this).html("上传成功");
   });
   $(".pic-list").append('<a href="' + xhr.responseText + '">' + xhr.responseText + '<img src="' + xhr.responseText + '" /></a>')
  }
 };
 //数据发送进度，前50%展示该进度
 xhr.upload.addEventListener('progress', function(e) {
  if (loop) return;
  pecent = ~~(100 * e.loaded / e.total) / 2;
  $li.find(".progress span").css('width', pecent + "%");
  if (pecent == 50) {
   mockProgress();
  }
 }, false);
 //数据后50%用模拟进度
 function mockProgress() {
  if (loop) return;
  loop = setInterval(function() {
   pecent++;
   $li.find(".progress span").css('width', pecent + "%");
   if (pecent == 99) {
    clearInterval(loop);
   }
  }, 100)
 }
 xhr.send(formdata);
}