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图片优化方法（有时间看看）

Image构造函数的使用：

使用方法如下：

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>图片构造函数</title>
</head>
<body>
    <script>
        var imgObj = new Image();
        imgObj.src = "http://tse2.mm.bing.net/th?id=OIP.sS7WCxBwmTTEGu5GQ2bjZwEpEs&w=199&h=200&c=7&qlt=90&o=4&dpr=1.25&pid=1.7";
        document.body.appendChild(imgObj);
    </script>
</body>
</html>

即通过new Image() 创建的是一个Image对象，然后src属性来指定路径，最后通过appendChild插入body中即可。关键： imgObj就相当于一个html对象。

<!DOCTYPE html>
<html>
<head>
    <title>大图片加载从模糊到清晰</title>
    <style type="text/css">
    .content{
        position: relative;
    }
    .thumbnails{
         300px;
        position: absolute;
        left: 0;
        top: 0;
        z-index: 1;
        filter: blur(4px);
        transition: all 0.7s;
    }
    .complete{
        filter: blur(0);
    }
    </style>
</head>
<body>
    <h3>大图片加载从模糊到清晰</h3>
    <div class="content">
        <img class="thumbnails" src="data:image/jpg;base64,/9j/4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP/sABFEdWNreQABAAQAAAA8AAD/4QMtaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI/PiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJBZG9iZSBYTVAgQ29yZSA1LjMtYzAxMSA2Ni4xNDU2NjEsIDIwMTIvMDIvMDYtMTQ6NTY6MjcgICAgICAgICI+IDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+IDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLyIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bXA6Q3JlYXRvclRvb2w9IkFkb2JlIFBob3Rvc2hvcCBDUzYgKE1hY2ludG9zaCkiIHhtcE1NOkluc3RhbmNlSUQ9InhtcC5paWQ6OTY3NjUwN0QyQjRBMTFFN0FCMjJERjYzMkVDMTQzRUEiIHhtcE1NOkRvY3VtZW50SUQ9InhtcC5kaWQ6OTY3NjUwN0UyQjRBMTFFN0FCMjJERjYzMkVDMTQzRUEiPiA8eG1wTU06RGVyaXZlZEZyb20gc3RSZWY6aW5zdGFuY2VJRD0ieG1wLmlpZDo5Njc2NTA3QjJCNEExMUU3QUIyMkRGNjMyRUMxNDNFQSIgc3RSZWY6ZG9jdW1lbnRJRD0ieG1wLmRpZDo5Njc2NTA3QzJCNEExMUU3QUIyMkRGNjMyRUMxNDNFQSIvPiA8L3JkZjpEZXNjcmlwdGlvbj4gPC9yZGY6UkRGPiA8L3g6eG1wbWV0YT4gPD94cGFja2V0IGVuZD0iciI/Pv/uAA5BZG9iZQBkwAAAAAH/2wCEAAYEBAQFBAYFBQYJBgUGCQsIBgYICwwKCgsKCgwQDAwMDAwMEAwODxAPDgwTExQUExMcGxsbHB8fHx8fHx8fHx8BBwcHDQwNGBAQGBoVERUaHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fH//AABEIAEsAZAMBEQACEQEDEQH/xACbAAACAgMBAQEAAAAAAAAAAAAGBwQFAgMICQABAQADAQEBAAAAAAAAAAAAAAABAgMEAAUQAAIBAgQDBQQGCAUFAAAAAAECAxEEACESBTETBkFRIjIUYXEVB4GRQlIjM2JygpJDUzQWocGiRAix4YMkFxEAAgIBBAEDAgYDAAAAAAAAAAERAgMhMUESBFEiMkITYXGBkaEzwWIj/9oADAMBAAIRAxEAPwBxdH7Nc3V0dwaqWkZKoTxdu2nsGIVRRsIdw0rdh+wLU+8ZDDyCAG61uuZt8jLnIpoM/vZYCeoYB28KGxFi51I0QiNOFSM6/ThG9ZKpaQDXSNmryN6pJHklkMCRKaEsnhXM8F18cdkZ1EEXzDtrHZru0s1ma0tbGNjrhFFF1IuoiZV8MiPkwDeQiuE20GWupzn1Fe3Fzus80sjyOzmru2qo7KUyp7saabEL7kZEnSAFZDGWNAKnt4EUPYcBsZIJ7Jm3jaYpLhmh5bFJIxxLx+FiD3HjjO/ayu6PprCEQrCql40bUockmpx3ZnQiNJbssJgaEGEnVQVBr31rjuzOg0fCYXsLxo5tVwoDRxGoai8aUybDd9ReuhS+jk0cvmNy+born59OrTXvpisk4PQcvb29qkMChIoxpVVyAAwdhAW3TdlF4YK1UpVj3NXIfVifA6ATqncooIJGcak1IFWvEk1JPuGAtR9kVtyXPjqNJz1ezvwBjZ8tdxhn3Ce6lhDmPnCGNfE3MVgUZAOLHjjrKAJyaPmlum67htdtZiERblu0jFIKCrxR+KSo4rQAM59wwi3kZLgWcnRW321rYC6oL29d9NucqwoB4886FjlgWy2K0x1e5aSdMbDBt8kTRwoxU6A5AZmArlU6vqxF3tuVVK7AvslvMkMscgK1JZUIIPDuPfi7Zng3Tzwx8TUjsGZwrZyRlJaTLGshQlCASRnSueeOk4hNEEV5eEnGL2EnLBONnroPhdPSJzeFaDTXVq1U+/qywZYDq1t9XXNBq8WTiuWRyxa7M9UA29bvJ8QM4NVRwaDtC+Hj7cDgYp+qm57xxCgNDIrdlCKCuBQNiHNcn+2+ahp4eTUdjeX/AKYMahnQjdAbnd7VummFxDE6klqgDScnq36uf0YN9gVDm46ba+jvt4kmNwtvt0tnttxp0vGJCZXYD9PJRTiMZtXoXTWhz7eyzwwLdC4le5iYiNmJfM/ZOquQPADhh050gZ1hyE28QvLtC7/cTPE1paC4FuBoqwSmhm46XY1OI1f0+rKWrz6Ah1F1RBDAnI/FnnRHUA0AUitXIz49mL0xtsz3uqga++7sbjnm4Nf5dBy6d2jF/tViIIfdtMyGPSXV8NxILO4PJkPkBNR+ye1fZxGM2TG6/kXpdW/MJty2ZZU5kACynxMB5ZD/AJezCKw0FF6eTl6NJ/Nro+1q7qe/DSdA9H3Gee7KRkEgMSakg0HZizZnRXzRM5UqQHA1U48Mgae/HHGrfLR4LiJJPE7xJpdsxRfNg1OZDuduu32ikCmSIyl2RVY0FKVOkGmeDOoYIm0WtpzF9aWQKC5jUiN2jX35Ur24FmFDOt99sbPouzR2ML7rKLYu2RiWQsikas9KZV9+JWcD1Us553vaL6G6S2TlvG0rhLg1aGXS1PAy/wCIOErb1NO7MPmRvfpNjg2CaVZtxvTHNdiIECK2TNFavbIwFB3DB8ek27cITycijr6gPukdtJYWssUge4WPTKNOkNnko/VGNGOZZlyRCKBznixEmdPLE3Ue0LNGJoWvrYSRHg6mZQyn2MMsB7HLc6j6u6Cfp/e7i1tqvtU7NJYE1JjQmphJP8s5D9GmMN6QzXW8oEPgw+I6uX/7FdFPb9/36cINIwunNv1NPcMKEtyxXPhmaY0MgjL0RXdjaFahpFKkD7B8VcEBJ6r217iC1eBQ84lECqR/Poif66YNXqcwR+YvWq7PPP01s0htrLZ/w5Z0ye5uVFJXlPbnkBwwtvc4LU9qlmXyruZ9st7Dqe+cXFtv9xdW+5QzIrIstsw5TxFgdK6WpQd2Fu+r/A6teyj6i4/5F3ey7v03s81pPRluJ4vUQnIDlKzqBwNDpz7MP3WkC0xvWTnOe73q3ZYbPdZ+a58KAkZjtAJI4dvHDpVfAH2WzKOd7ppTc3DPPNMxeS4kJdn7MycU04J68km4a2G1xgNWXOQ+yvZidZ7DWa6lI2LESVsqNJvm2xr5nvLdV95mUYDOPQXrDbob2xuAfFJCebGaZgqaEfu4hdFaC2+Cwet9Rp8WnRT6eP1YhBUv9thikV+SAEV2DafvVzxSCckprWCO6EzECTlEU7wDx+jDANb39vt0Fzu1zTkbZC93pOYMi5Qj98g/RhZgZKdBTdF/L6164Lbtd3Ti3F48m5uM/wANKO6iv25WdVB7Mzg02Y2V6pBr1zfbLY7Gm02Vui2tkoNlAuSR6fb7e3vwlmUotZFj1fpuem7IXl5oFmJJbezUUd57yTmSM33URVCqBmcLUowP2lYIIbm9uYPUJZujQDI6Z5lMChu3SQ+YxRtk2kDG+w3sV1FHdJWVE0MqjT4BkpoO04rRpojZahL0Z0tDv+yzQ3CfgeIK4FHRwaa1PeO7GfLd1tKNGKqtWGL/AHXbrvbNxuNvvF03Fs5R+5h9lx7GGYxspdWUoxXo6uGTOjoln6x6fgcVSbc7JGHeGuEBwzFPQ/ckFZF+w5YOT7a1xnsVqAHp5NWjw016a510cPrxEc/enpAkz28lTrUPU8dRz4e7FmIaNxvNPUKljSJNNuoPlOseI/vUwDkDnzm3N9v+X3IDBJN2uBzGOVLe37T3Auf8MK+CtOWafltuu2dD/L62l6jlaOLf5DdrGMpII5MoPwz4m5iLzGAzUEHF/t+0zWzf9I4BjeOorLqXqiz2yzib4a8pe6mBzaKMF2I/RyzxliTbMIH+opby+vrm5htiYg1A4GShchp9wwiKA6WSy264mKu11cTx8u1UgLMQCEHfqDnsxRKWJZwpJFz0vu13d2l5KDNdyDl3JIqAG7F7gvAYR5ElHAVR78hXtUR2QLapHy4F8K07v++Iu0lUkDPzk6bS62yHqS1X8a00xXtB5oHNFY/qMfqOK+Lki3XhkfJxzXtygJ+VMDT/ADQ6RjA8272ZHuWZW/yx6FtjAkd/7usUwaGRQ8UmpZEPAqciMQs9StUB1BzNNfBqpT6eGJTqOUe0yyjc4Qja7gPqZTXgeCgdlBiohGuIpby7ENuC1zLNoqDmru1Dke6tcAIuP+QvUUF51PbdPxOZbSxMME4XMlFYBhl2tmcCmtp4KNNVhbiz+Y/WG4dTdU3NzLI/IgLQWkNSBHGh05DsNFAPuxqbMGOukvcs/lzuF1P1jYRTTCJIYJluJloaxFKGgOWpqgVwlcabKZvIdaTyU/WnUt3Pvt3FYXc8drHIUiAkamlchkMs8O6r0J4naJb1LX5aXTbz1XZLvLGdo45Y9rYgAeoAqWcDzNoBCnsxDLSKto1Ysk3SY0epL74PtZkgCmZtSwLQVZgpamfACmZx5trawelWukiytuuN1k3p9s31ovx1ja3ljFBHI6huWzHzBq5E8Dli/wBpde1Say+6LB9t5hu9ulsbtRLBMhjkRuDK2RU4zOZ0LwA/QnSM2w/PHpK1mleaCTcUlsXIJDRIGOfcyEAH68epizd6zzyeXmw9H+HB2Rul1HFby3MpCxR+IsQSBnQZD2nCWOQMaIvX6K+DmftV48O+vZicajFL0tAhv7l4yOVBVdVfEZGNMz7BisiFht21yL1NcX0alobeFrmOn8+SsaD20NWwJ0GS1EHs+w3O6fMXdbnd4pImsrh55o5FOrVq/CBBpkeOJ11hGizhN/sXHWXyGv8Aeb+46h6fuooDO0k26WdxVI4mQeOWORex6VKkccVWUzPEvUTk8O97LcLcxoVSSH86OpBjfIMRxGqmK0yJk8mHTXYgWkPNIkJ1Bsye8nFUQvYsFcxTRMjmDlEPG6HSyspqpUjPVq4Ux1tidWGltuu+7g1vJvV1Jd3S10c0KCis3AhQor97HjeQ69n12Pf8atlRdt2BPWQU9TXqEUC6B3fYHDGvxv60ZPJ+bDPorqSS8teXM9bu20pcV+2pySX6fK3t9+IZ6Q54ZqwZOyh7oZPT11t0O+7Lu99HzE2q7W4DjzICpjZh7lepHsxPHfraR8uPtWB8X9wsdq7gqyBS4fipUCoPtBxtszzkgH9R/uK9mrV/q492JSPBu6c0aNwpyKeqevK1V/a1dndinAgY7DXk3FKeZfLTV5Twrh6iin3TT/f+4U0auTFzNOrXp5v+6r4dNfJo8XHsxLH8macnwRb9Wa//AJx1Bp9Twn1+l08yms/mav4ffpzpgeoq3Qi+sOV8Qt9PJ/oLT8jmafyR5dXZhkMBo9J6gc34VWv8b1Nfp5WNFZj6jLkj/X9Qx6T9F8UHpf7e5uhvyPVeuppP9L6r8Lmd3txLyJ669v4/wd40dtOn8z+kkW30+pj4+Ueauvj9r29+PMseygL6x0/3Xff+Pjqp5Bwx6Xjf1o83yf7GSOjaf3BFSv5ctdFaU0ivNr/D76Z1pTAz/EPj/NDe2j8gceH2+HDt9mMDPRY8tjr/AGhtteb/AEg08+mulMuH2fu1z00rjXX4o87J8mDfg+Gfw6cr9Ll+X68Lwdyf/9k=">
    </div>
    <script type="text/javascript">
        var ele = document.querySelector('.thumbnails');
        // 为了看到效果加个延时
        setTimeout(function(){
            // 若图片URL失效请自行替换
            var imgUrl = 'http://img8.zol.com.cn/bbs/upload/10569/10568721.jpg';
            var imgObject = new Image();

            imgObject.src = imgUrl;
            imgObject.onload = function(){
                ele.src = imgUrl;
                ele.setAttribute('class', 'thumbnails complete');
            }
        }, 1000)
    </script>
</body>
</html>

原文链接：http://www.cnblogs.com/wangmeijian/p/6822674.html

<!DOCTYPE html><html><head> <title>大图片加载从模糊到清晰</title> <style type="text/css"> .content{ position: relative; } .thumbnails{ 300px; position: absolute; left: 0; top: 0; z-index: 1; filter: blur(4px); transition: all 0.7s; } .complete{ filter: blur(0); } </style></head><body> <h3>大图片加载从模糊到清晰</h3> <div class="content"> <img class="thumbnails" 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原文地址：https://www.cnblogs.com/zhuzhenwei918/p/6828684.html