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前端实现Base64图片压缩(可直接复制使用)_base64压缩

base64压缩

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公司里引入的葡萄城插件,可以上传 excel 生成 json,由于 excel 里有十几张图片,导致 json 大小动不动几十MB,无法正常走接口联调,所以得想办法压缩 json 的大小

通过查看 JSON ,知道图片都转化为了 base64,也就是说能够实现 base64压缩,就能解决这个问题

base64图片压缩代码(可直接复制使用)

一份70+MB的json,可以压缩到5MB以内,当然json里占大头的是图片的base64编码

压缩原理主要是将 base64 的图片转为 canvas 渲染,同时等比例缩小图片的宽高,其次是通过 canvas 的 API 调整图片的质量

自己调整压缩的度 图片会变模糊

let targetObj = {
    // 51.4kb
    src: 'data:image/jpeg;base64,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'
}
function compressImg (base64, multiple, useImg, targetObj) {
      // 第一个参数就是需要加密的base65,
      // 第二个是压缩系数 0-1,
      // 第三个压缩后的回调 用来获取处理后的 base64
      if (!base64) {
        return
      }
      // const _this = this
      const length = base64.length / 1024
      // 压缩方法
      let newImage = new Image()
      let quality = 0.6    // 压缩系数0-1之间
      newImage.src = base64
      newImage.setAttribute('crossOrigin', 'Anonymous') // url为外域时需要
      let imgWidth,
        imgHeight
      let w = undefined
      newImage.onload = function () {
        // 这里面的 this 指向 newImage
        // 通过改变图片宽高来实现压缩
        w = this.width * multiple
        imgWidth = this.width
        imgHeight = this.height
        let canvas = document.createElement('canvas')
        let ctx = canvas.getContext('2d')
        if (Math.max(imgWidth, imgHeight) > w) {
          if (imgWidth > imgHeight) {
            canvas.width = w
            // 等比例缩小
            canvas.height = w * (imgHeight / imgWidth)
          } else {
            canvas.height = w
            // 等比例缩小
            canvas.width = w * (imgWidth / imgHeight)
          }
        } else {
          canvas.width = imgWidth
          canvas.height = imgHeight
          // quality 设置转换为base64编码后图片的质量,取值范围为0-1  没什么压缩效果
          // 还是得通过设置 canvas 的宽高来压缩
          quality = 0.6
        }
        ctx.clearRect(0, 0, canvas.width, canvas.height)
        ctx.drawImage(this, 0, 0, canvas.width, canvas.height) //  // 这里面的 this 指向 newImage
        let smallBase64 = canvas.toDataURL('image/jpeg', quality) // 压缩语句
        // 如想确保图片压缩到自己想要的尺寸,如要求在50-150kb之间,请加以下语句,quality初始值根据情况自定
        // while (smallBase64.length / 1024 > 150) {
        // quality -= 0.01;
        // smallBase64 = canvas.toDataURL("image/jpeg", quality);
        // }
        // 防止最后一次压缩低于最低尺寸,只要quality递减合理,无需考虑
        // while (smallBase64.length / 1024 < 50) {
        // quality += 0.001;
        // smallBase64 = canvas.toDataURL("image/jpeg", quality);
        // }

        // 必须通过回调函数返回,否则无法及时拿到该值,回调函数异步执行
      console.log(`压缩前:${length}KB`)
      console.log(`压缩后:${smallBase64.length / 1024} KB`)


        useImg(smallBase64, targetObj)
      }
    }
function useImg (base64, targetObj) {
    // targetObj 通过值引用的特性  用处理后的 base64 覆盖 处理前的 base63
    console.log('压缩后的 base64 :', base64)
      targetObj.src = base64 
    }
    compressImg(targetObj.src, 0.5, useImg, targetObj)

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涉及到的知识点

Image()

Image() 函数将会创建一个新的 HTMLImageElement 实例。

它的功能等价于 document.createElement('img')

语法:

Image(width, height)
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  • width: 图片的宽度 (即 width 属性)
  • height: 图片的高度 (即 height 属性)

示例

var myImage = new Image(100, 200);
myImage.src = 'picture.jpg';
document.body.appendChild(myImage);
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上面的代码相当于在 <body>中定义了下面的 HTML:

<img width="100" height="200" src="picture.jpg">
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Note: 无论构造函数中指定的大小是多少,都会加载整个位图。如果在构造时指定了尺寸信息,那么将会反应在实例的 HTMLImageElement.width (en-US) 和 HTMLImageElement.height (en-US) 属性上。

图像自身的 CSS 像素值将会反应在 HTMLImageElement.naturalWidth (en-US) 和 HTMLImageElement.naturalHeight 属性。如果没有指定值,那么两个属性的值相同

HTMLMediaElement.crossOrigin

HTMLMediaElement.crossOrigin 属性是当前图片元素的跨域资源共享 (CORS) 设置,详情可参考 CORS 设置。

  • anonymous:
    Request uses CORS headers and credentials flag is set to ‘same-origin’. There is no exchange of user credentials via cookies, client-side SSL certificates or HTTP authentication, unless destination is the same origin.

请求使用 CORS 头和凭证标志设置为’same-origin’。除非目的地是同一个源,否则不会通过 cookie、客户端 SSL 证书或 HTTP 身份验证交换用户凭据。

HTMLCanvasElement.getContext()

MDN

HTMLCanvasElement.getContext() 方法返回 canvas 的上下文,如果上下文没有定义则返回 null .

在同一个 canvas 上以相同的 contextType 多次调用此方法只会返回同一个上下文。

语法

var ctx = canvas.getContext(contextType);
var ctx = canvas.getContext(contextType, contextAttributes);
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参数

上下文类型(contextType)

是一个指示使用何种上下文的 DOMString 。可能的值是:

  • “2d”, 建立一个 CanvasRenderingContext2D 二维渲染上下文。
  • “webgl” (或"experimental-webgl") 这将创建一个 WebGLRenderingContext 三维渲染上下文对象。只在实现WebGL 版本 1(OpenGL ES 2.0) 的浏览器上可用。
  • “webgl2” (或 “experimental-webgl2”) 这将创建一个 WebGL2RenderingContext 三维渲染上下文对象。只在实现 WebGL 版本 2 (OpenGL ES 3.0) 的浏览器上可用。Experimental
  • “bitmaprenderer” 这将创建一个只提供将 canvas 内容替换为指定ImageBitmap功能的ImageBitmapRenderingContext 。

CanvasRenderingContext2D.clearRect()

MDN
CanvasRenderingContext2D.clearRect()是 Canvas 2D API 的方法,这个方法通过把像素设置为透明以达到擦除一个矩形区域的目的

语法

void ctx.clearRect(x, y, width, height);
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clearRect() 方法在一个矩形区域内设置所有像素都是透明的 (rgba(0,0,0,0))。这个矩形范围的左上角在 (x, y),宽度和高度分别由 width 和height确定。

  • x: 矩形起点的 x 轴坐标。
  • y: 矩形起点的 y 轴坐标。
  • width: 矩形的宽度。
  • height: 矩形的高度。

示例

清除整个画布

这段代码清除整个画布。这段代码通常在动画的每一帧开始被执行。清除的范围涵覆盖了整个 <canvas> 元素。

const canvas = document.getElementById('canvas');
const ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height);
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清除一部分画布

这仅是一段简单地使用 clearRect 方法的代码片段。

HTML

<canvas id="canvas"></canvas>
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JavaScript

下面代码中被清除的区域是一个矩形,它的左上点坐标在 (10, 10),宽度和高度分别是 120 和 100 像素。

var canvas = document.getElementById("canvas");
var ctx = canvas.getContext("2d");

// 绘制黄色背景
ctx.beginPath();
ctx.fillStyle = '#ff6';
ctx.fillRect(0, 0, canvas.width, canvas.height);

// 绘制蓝色三角形
ctx.beginPath();
ctx.fillStyle = 'blue';
ctx.moveTo(20, 20);
ctx.lineTo(180, 20);
ctx.lineTo(130, 130);
ctx.closePath();
ctx.fill();

// 清除一部分画布
ctx.clearRect(10, 10, 120, 100);
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结果
在这里插入图片描述

CanvasRenderingContext2D.drawImage()

MDN

Canvas 2D API 中的 CanvasRenderingContext2D.drawImage() 方法提供了多种方式在 Canvas 上绘制图像。

语法

void ctx.drawImage(image, dx, dy);
void ctx.drawImage(image, dx, dy, dWidth, dHeight);
void ctx.drawImage(image, sx, sy, sWidth, sHeight, dx, dy, dWidth, dHeight);
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drawImage

参数

  • image: 绘制到上下文的元素。允许任何的 canvas 图像源 (CanvasImageSource),例如:CSSImageValue (en-US),HTMLImageElementSVGImageElement (en-US),HTMLVideoElementHTMLCanvasElementImageBitmap 或者 OffscreenCanvas
  • sx可选: 需要绘制到目标上下文中的,image的矩形(裁剪)选择框的左上角 X 轴坐标。
  • sy可选: 需要绘制到目标上下文中的,image的矩形(裁剪)选择框的左上角 Y 轴坐标。
  • sWidth可选: 需要绘制到目标上下文中的,image的矩形(裁剪)选择框的宽度。如果不说明,整个矩形(裁剪)从坐标的sx和sy开始,到image的右下角结束。
  • sHeight可选: 需要绘制到目标上下文中的,image的矩形(裁剪)选择框的高度。
  • dx: image的左上角在目标 canvas 上 X 轴坐标。
  • dy: image的左上角在目标 canvas 上 Y 轴坐标。
  • dWidth可选: image在目标 canvas 上绘制的宽度。允许对绘制的image进行缩放。如果不说明,在绘制时image宽度不会缩放。
  • dHeight可选: image在目标 canvas 上绘制的高度。 允许对绘制的image进行缩放。如果不说明,在绘制时image高度不会缩放。

示例

使用 drawImage 方法

这是一段使用 drawImage 方法的简单的代码片段。

HTML

<canvas id="canvas"></canvas>
  <img id="source" src="https://mdn.mozillademos.org/files/5397/rhino.jpg"
       width="300" height="227">
</div>
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JavaScript

var canvas = document.getElementById("canvas");
var ctx = canvas.getContext("2d");
var image = document.getElementById('source');

ctx.drawImage(image, 33, 71, 104, 124, 21, 20, 87, 104);
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HTMLCanvasElement.toDataURL()

MDN文档
HTMLCanvasElement.toDataURL() 方法返回一个包含图片展示的 data URI 。可以使用 type 参数其类型,默认为 PNG 格式。图片的分辨率为 96dpi。

  • 如果画布的高度或宽度是 0,那么会返回字符串“data:,”。
  • 如果传入的类型非“image/png”,但是返回的值以“data:image/png”开头,那么该传入的类型是不支持的。
  • Chrome 支持“image/webp”类型。

语法

canvas.toDataURL(type, encoderOptions);
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参数

  • type 可选: 图片格式,默认为 image/png
  • encoderOptions 可选: 在指定图片格式为 image/jpegimage/webp 的情况下,可以从 0 到 1 的区间内选择图片的质量。如果超出取值范围,将会使用默认值 0.92。其他参数会被忽略。

返回值

  • 包含 data URI 的 DOMString。

示例

有如下<canvas>元素

<canvas id="canvas" width="5" height="5"></canvas>
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可以用这样的方式获取一个 data-URL

var canvas = document.getElementById("canvas");
var dataURL = canvas.toDataURL();
console.log(dataURL);
// "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNby
// blAAAADElEQVQImWNgoBMAAABpAAFEI8ARAAAAAElFTkSuQmCC"
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设置 jpegs 图片的质量

var fullQuality = canvas.toDataURL("image/jpeg", 1.0);
// data:image/jpeg;base64,/9j/4AAQSkZJRgABAQ...9oADAMBAAIRAxEAPwD/AD/6AP/Z"
var mediumQuality = canvas.toDataURL("image/jpeg", 0.5);
var lowQuality = canvas.toDataURL("image/jpeg", 0.1);
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示例:动态更改图片

可以使用鼠标事件来动态改变图片(这个例子中改变图片灰度)。

HTML

<img class="grayscale" src="myPicture.png" alt="Description of my picture" />
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JavaScript

window.addEventListener("load", removeColors);

function showColorImg() {
  this.style.display = "none";
  this.nextSibling.style.display = "inline";
}

function showGrayImg() {
  this.previousSibling.style.display = "inline";
  this.style.display = "none";
}

function removeColors() {
  var aImages = document.getElementsByClassName("grayscale"),
      nImgsLen = aImages.length,
      oCanvas = document.createElement("canvas"),
      oCtx = oCanvas.getContext("2d");
  for (var nWidth, nHeight, oImgData, oGrayImg, nPixel, aPix, nPixLen, nImgId = 0; nImgId < nImgsLen; nImgId++) {
    oColorImg = aImages[nImgId];
    nWidth = oColorImg.offsetWidth;
    nHeight = oColorImg.offsetHeight;
    oCanvas.width = nWidth;
    oCanvas.height = nHeight;
    oCtx.drawImage(oColorImg, 0, 0);
    oImgData = oCtx.getImageData(0, 0, nWidth, nHeight);
    aPix = oImgData.data;
    nPixLen = aPix.length;
    for (nPixel = 0; nPixel < nPixLen; nPixel += 4) {
      aPix[nPixel + 2] = aPix[nPixel + 1] = aPix[nPixel] = (aPix[nPixel] + aPix[nPixel + 1] + aPix[nPixel + 2]) / 3;
    }
    oCtx.putImageData(oImgData, 0, 0);
    oGrayImg = new Image();
    oGrayImg.src = oCanvas.toDataURL();
    oGrayImg.onmouseover = showColorImg;
    oColorImg.onmouseout = showGrayImg;
    oCtx.clearRect(0, 0, nWidth, nHeight);
    oColorImg.style.display = "none";
    oColorImg.parentNode.insertBefore(oGrayImg, oColorImg);
  }
}
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