图片压缩指定宽高和限制大小？

Question

功能场景描述及使用场景

应用开发中，用户头像时需要特定的宽高和大小限制，这个时候我们需要对用户上传的头像进行严格精准的压缩，维持在一个标准内，下面demo为例，实现将一个1.9M大小的图片，压缩成宽500，高500，且大小保持在100kb以内。

Answer 1

使用的核心API

图像变换(ArkTS)

图片编码(ArkTS)

初始化图片资源到沙箱

async aboutToAppear(): Promise<void> {
  const resourceManager = getContext(this).resourceManager
  const imageArray = await resourceManager.getMediaContent($r('app.media.100'));
​
  console.log("yuv_path is:" + path);
  let file = fs.openSync(path, fs.OpenMode.READ_WRITE | fs.OpenMode.CREATE);
​
  fs.write(file.fd, imageArray.buffer).then((writeLen) => {
    console.info("write data to file succeed and size is:" + writeLen);
    fs.closeSync(file);
  }).catch((err: BusinessError) => {
    console.info("write data to file failed with error message: " + err.message + ", error code: " + err.code);
  });
}

创建pixelMap，并调用压缩方法

/ // path为已获得的沙箱路径
        const imageSource: image.ImageSource = image.createImageSource(path);
​
        //创建pixelMap
        this.pixelMap = await imageSource.createPixelMap(decodingOptions);
​
        console.log("6666661" + this.pixelMap.getPixelBytesNumber());
        //指定压缩宽、高、大小
        this.packingDetail(500, 500, 100)

根据压缩后目标图片宽高计算缩放比 并进行缩放，调用packing方法实现第一次压缩

  if (this.pixelMap) {
    Logger.info("zhaohao before scaling pixelmap." + this.pixelMap.getPixelBytesNumber());
​
    let imageInfo = await this.pixelMap.getImageInfo();
​
    let a = this.pixelMap
    //计算压缩比
    let scaleX: number = targetWidth / imageInfo.size.width;
    let scaleY: number = targetHeight / imageInfo.size.height;
    this.pixelMap.scale(scaleX, scaleY, (err: BusinessError) => {
      if (err) {
        console.error("zhaohao Failed to scale pixelmap.");
        return;
      } else {
        console.log("zhaohao in scaling pixelmap." + a.getPixelBytesNumber());
      }
    });
  }
  let imagePackerApi = image.createImagePacker();
  let packOpts: image.PackingOption = { format: "image/jpeg", quality: 100 };
  imagePackerApi.packing(this.pixelMap, packOpts).then((data: ArrayBuffer) => {
    Logger.info("zhaohao in 100 quality data" + data.byteLength)
    this.compressPictures(data, targetPixelSize, 99);
  });

调用递归算法，当压缩后的data ，小于等于压缩目标图片大小时将data写入本地沙箱并结束递归

compressPictures(data?: ArrayBuffer, size?: number, quality?: number): void {
  if (data && size && quality) {
    const currentSize = data.byteLength / 1024
    if (currentSize <= size || quality === 0) {
      console.log("finally quallity is:" + ++quality)
      let file = fs.openSync(path9, fs.OpenMode.READ_WRITE | fs.OpenMode.CREATE);
      fs.write(file.fd, data).then(async (writeLen) => {
        console.info("write data to file succeed2 and size is:" + writeLen);
        fs.closeSync(file);
      }).catch((err: BusinessError) => {
        console.info("write data to file failed1 with error message: " + err.message + ", error code: " + err.code);
      });
      return;
    }
  }
  if (quality) {
    let packOpts: image.PackingOption = { format: "image/jpeg", quality: quality }
    let imagePackerApi = image.createImagePacker();
    imagePackerApi.packing(this.pixelMap, packOpts)
      .then((ret: ArrayBuffer) => {
        //递归算法，直到压缩到指定大小的data
        if (quality) {
          Logger.info("PACKING66666"+quality)
          return this.compressPictures(ret, size, quality - 1)
        }
​
      }).catch((err: BusinessError) => {
      console.log(`lbh`)
      return false
    })
  }
}

实现效果

原图

压缩后目标图片

注明适配的版本信息

API版本：

11

软件版本：

ALN-AL00 4.1.0.66(SP58DEVC00E66R4P1log)