利用canvas简单的实现一下图片压缩

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简单实现一下文件上传图片压缩

步骤

  1. 创建一个input标签,监听一下上传状态,获取文件类型和文件大小判断
  2. 利用FileReader异步读取文件(结合input:file可以很方便的读取本地文件)readAsDataURL方法读取指定的  [File] 对象,监听一下load过程获取图片的base64编码。
  3. 设定图片最大长宽,压缩的图片。监听Image方法load事件获取图片长宽,计算压缩比,获取到压缩后的长宽,最后利用cancas重新绘制图片后转化为base64格式的url输出

具体代码如下:

<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta http-equiv="X-UA-Compatible" content="IE=edge" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Document</title>
  </head>
  <body>
    <input type="file" id="upload" />
    <script>
      const upload = document.getElementById("upload");
      const ACCEPT = ["image/jpg", "image/png", "image/jpeg"];
      const MAXSIZE = 1024 * 1024;
      function convetImageToBase64(file, callback) {
        let reader = new FileReader();
        reader.addEventListener("load", function (e) {
          const base64Image = e.target.result;
          // 压缩前的url的base64大小
          console.log(base64Image);
          callback && callback(base64Image);
          reader = null;
        });
        reader.readAsDataURL(file);
      }
      function compress(base64Image, callback) {
        let maxW = 1024;
        let maxH = 1024;
        const image = new Image();
        image.addEventListener("load", function (e) {
          let ratio; //图片的压缩比
          let needCompress = false; //是否压缩
          if (maxW < image.naturalWidth) {
            needCompress = true;
            ratio = image.naturalWidth / maxW;
            maxH = image.naturalHeight / ratio;
          }
          if (maxH < image.naturalHeight) {
            needCompress = true;
            ratio = image.naturalHeight / maxH;
            maxW = image.naturalWidth / ratio;
          }
          if (!needCompress) {
            maxW = image.naturalWidth;
            maxH = image.naturalHeight;
          }
          const canvas = document.createElement("canvas");
          canvas.setAttribute("id", "__compress__");
          canvas.width = maxW;
          canvas.height = maxH;
          canvas.style.visibility = "visibile";
          document.body.appendChild(canvas);
          const ctx = canvas.getContext("2d");
          ctx.clearRect(0, 0, maxW, maxH);
          ctx.drawImage(image, 0, 0, maxW, maxH);
          const compressImage = canvas.toDataURL("image/jpeg", 0.9);
          callback && callback(compressImage);
          const _image = new Image();
          _image.src = compressImage;
          document.body.appendChild(_image);
          canvas.remove();
        });

        image.src = base64Image;
        document.body.appendChild(image);
      }
      function uploadToServer(compressImage) {
        // "压缩后的url的base64格式"
        console.log("上传", compressImage);
      }
      // 监听图片上传时的改变获取file
      upload.addEventListener("change", (e) => {
        const [file] = e.target.files;
        if (!file) {
          return;
        }
        const { type: fileType, size: fileSize } = file;
        if (!ACCEPT.includes(fileType)) {
          alert("不支持[" + fileType + "]类型");
          upload.value = "";
          return;
        }
        if (fileSize > MAXSIZE) {
          alert(`文件超出1MB`);
        }
        //图片压缩
        convetImageToBase64(file, (base64Image) =>
          compress(base64Image, uploadToServer)
        );
      });
    </script>
  </body>
</html>

效果: 第一张图片是未压缩处理的第二张图片是压缩处理后

image.png

image.png