exif.js 加载出来的PNG图像背景是黑色的？

这是没有上传前的图片

这是上传后的图片

运用exif.js解析的图片，不知道什么原因，上传的png格式的不知道为什么是黑色背景

下面直接贴代码吧

<code>/**
 * 上传多张图片
 * @method uploadImg
 * @params url:上传图片请求的服务器端的文件的地址,
 * @params container:图片上传之后渲染到哪个父盒子,
 * @params maxCount:最多可上传的数目,
 * @params maxMb:上传的大小MB
 * @params fileInput:上传图片的文件域
 * @params scale:图片的缩放比例  大小
 * @params name:参数名称
 * @params success:上传成功之后执行的回调函数
 * @params error:上传失败之后执行的回调函数
 * @params warn:不符合上传条件时执行的回调函数
 * @return 元素对象.uploadImg(Objext)
 */
(function($){     
    $.fn.extend({     
        uploadImg:function(opt){     
            var up=new UploadImg(opt,this);
        }     
    });
    function UploadImg(option,self){
       var _defaults={
          url:"",
          container:self,
          maxCount:3,
          maxMb:2,
          fileInput:$(self).find(".fileImg"),
          scale:0.8,
          name:"img",
          success:function(data,idx){
                
          },
          error:function(msg){
             alertBox(msg,1,"关 闭","",cancelAlert);
          },
          warn:function(msg){
             alertBox(msg,1,"关 闭","",cancelAlert);
          }
       };
       this.opt=$.extend({},_defaults,option);
       this.init(self);
    }

    UploadImg.prototype={
        init:function(self){
           var _this=this;
           var liIndex=0;
           // 给文件域绑定事件
           _this.opt.fileInput.on('change',function(){
               var files=this.files?this.files:null,
                   _tar=files[0],
                   maxSize=_this.opt.maxMb*1024*1024,
                   reg=/\.(jpg)|(jpeg)|(gif)|(png)$/i,
                   err="",
                   html="";

               if(!(reg.test(_tar.name))){
                  err="请上传jpg/jpeg/gif/png格式的图片";
               }else{
                    if(_tar.size>maxSize){
                      err="图片尺寸超出限制，请上传低于"+_this.opt.maxMb+"M的图片";
                   }
               }
               
               if(err){
                   _this.opt.warn && _this.opt.warn(err);
                   return;
               }
                
               liIndex++;
               
               html='<li class="upload-img upload-loading">'
                        +'<img  src="" alt="exif.js 加载出来的PNG图像背景是黑色的？ " >'
                        +'<a href="javascript:void(0)" class="upload_delete" title="删除"></a>'
                   +'</li>';

               $(html).prependTo($(_this.opt.container));

               _this.getCount(liIndex);

               // 上传图片
               _this.zipImg({
                     files:files,
                     scale:_this.opt.scale,
                     callback:function(tar){
                     if(tar.constructor!='Array'){
                        tar=[tar];
                     }
                     _this.submit(tar,liIndex,self);
                     }
               })
           })
           // 关闭
           $(_this.opt.container).on('click','.upload_delete',function(){
                  liIndex-=1;
                  $(this).parents('li.upload-img').remove();
                  _this.getCount(liIndex);
           })
        },
        //压缩图片方法
        zipImg: function(cfg){
         /*
          * cfg.files      input对象触发onchange时候的files
          * cfg.scale      压缩比例
          * cfg.callback     压缩成功后的回调
          */
          var _this = this;
          var options = cfg;
         [].forEach.call(options.files, function(v, k){
           var fr = new FileReader();  
           fr.onload= function(e) {  
             var oExif = EXIF.readFromBinaryFile(new BinaryFile(e.target.result)) || {};

             var $img = document.createElement('img');                         
             $img.onload = function(){                 
               _this.fixDirect().fix($img, oExif, options.callback,options.scale);
             };  
             if(typeof(window.URL) != 'undefined'){
              $img.src = window.URL.createObjectURL(v);
             }else{
              $img.src = e.target.result;       
             }
           };  
           //fr.readAsDataURL(v);
           fr.readAsBinaryString(v);
         }); 
        },
        //调整图片方向
        fixDirect: function(){
         var r = {};
         r.fix = function(img, a, callback,scale) {
           var n = img.naturalHeight,
             i = img.naturalWidth,
             c = 1024,
             o = document.createElement("canvas"),
             s = o.getContext("2d");
           a = a || {};
           //o.width = o.height = c;
           //debugger;
           if(n > c || i > c){
             o.width = o.height = c;
           }else{
             o.width = i;
             o.height = n;
           }
           a.Orientation = a.Orientation || 1;
           r.detectSubSampling(img) && (i /= 2, n /= 2);
           var d, h;
           i > n ? (d = c, h = Math.ceil(n / i * c)) : (h = c, d = Math.ceil(i / n * c));
           // var g = c / 2,
           var g = Math.max(o.width,o.height)/2,
             l = document.createElement("canvas");
           if(n > c || i > c){
             l.width = g, l.height = g;
           }else{
             l.width = i;
             l.height = n;
             d = i;
             h =n;
           }
           //l.width = g, l.height = g;
           var m = l.getContext("2d"), u = r.detect(img, n) || 1;
           s.save();
           r.transformCoordinate(o, d, h, a.Orientation);
           var isUC = navigator.userAgent.match(/UCBrowser[\/]?([\d.]+)/i);
           if (isUC && $.os.android){
             s.drawImage(img, 0, 0, d, h);
           }else{
             for (var f = g * d / i, w = g * h / n / u, I = 0, b = 0; n > I; ) {
               for (var x = 0, C = 0; i > x; )
                 m.clearRect(0, 0, g, g), m.drawImage(img, -x, -I), s.drawImage(l, 0, 0, g, g, C, b, f, w), x += g, C += f;
               I += g, b += w
             }
           }
           s.restore();
           a.Orientation = 1;
           img = document.createElement("img");
           img.onload = function(){
             a.PixelXDimension = img.width;
             a.PixelYDimension = img.height;
             //e(img, a);
           };
           
           callback && callback(o.toDataURL("image/jpeg", scale).substring(22));//压缩图片
         };
         r.detect = function(img, a) {
           var e = document.createElement("canvas");
           e.width = 1;
           e.height = a;
           var r = e.getContext("2d");
           r.drawImage(img, 0, 0);
           for(var n = r.getImageData(0, 0, 1, a).data, i = 0, c = a, o = a; o > i; ) {
             var s = n[4 * (o - 1) + 3];
             0 === s ? c = o : i = o, o = c + i >> 1
           }
           var d = o / a;
           return 0 === d ? 1 : d
         };
         r.detectSubSampling = function(img) {
           var a = img.naturalWidth, e = img.naturalHeight;
           if (a * e > 1048576) {
             var r = document.createElement("canvas");
             r.width = r.height = 1;
             var n = r.getContext("2d");
             return n.drawImage(img, -a + 1, 0), 0 === n.getImageData(0, 0, 1, 1).data[3]
           }
           return !1;
         };
         r.transformCoordinate = function(img, a, e, r) {
           switch (r) {
             case 5:
             case 6:
             case 7:
             case 8:
               img.width = e, img.height = a;
               break;
             default:
               img.width = a, img.height = e
           }
           var n = img.getContext("2d");
           switch (r) {
             case 2:
               n.translate(a, 0), n.scale(-1, 1);
               break;
             case 3:
               n.translate(a, e), n.rotate(Math.PI);
               break;
             case 4:
               n.translate(0, e), n.scale(1, -1);
               break;
             case 5:
               n.rotate(.5 * Math.PI), n.scale(1, -1);
               break;
             case 6:
               n.rotate(.5 * Math.PI), n.translate(0, -e);
               break;
             case 7:
               n.rotate(.5 * Math.PI), n.translate(a, -e), n.scale(-1, 1);
               break;
             case 8:
               n.rotate(-.5 * Math.PI), n.translate(-a, 0)
           }
         };
         return r;
        },
        getCount:function(idx){
            var _this=this,
                size=$(_this.opt.container).find('li.upload-img').size(),
                $uploadLi=$(_this.opt.fileInput).parents("li");

            if(idx>=_this.opt.maxCount){
               $uploadLi.hide();
            }else{
               $uploadLi.show();
            }
        },
        submit:function(files,idx,t){
           var _this=this,
               files=files[0],
               param={},
               url=_this.opt.url;
           param[_this.opt.name]=files;
           $.ajax({
                 url:url,
                 type:"post",
                 data:param,
                 success:function(data){
                  data=JSON.parse(data);
                  _this.opt.success && _this.opt.success(data,idx);
                  $(t).find("li").eq(0).removeClass('upload-loading').find('img').attr('src',data.url);
                 },
                 error:function(data){
                 _this.opt.error && _this.opt.error(data.msg); 
                 }
           })
        }
    }
})(jQuery);</code>

压缩图片中用到的EXIF就在那里处理图片的，不知道怎么处理上传后图片的PNG格式的图片，背景是黑的，求大神解救！！！

也可以直接下载运行，主要是遇到的透明的png合成的时候是有黑色背景！目的是去除黑色背景！！

<code>git clone https://github.com/Shoestrong/uploadimg.git</code>

补充一点：刚发现的，上传png的时候尺寸也有问题，顺便解决一下！！