使用Java将图片转成Base64编码，并压缩至40k

1.添加依赖包

   
     
         net.coobird
         thumbnailator
         0.4.8
     

2.代码

package com. xxx.flinksql.udf.utils;

import net.coobird.thumbnailator.Thumbnails;
import org.apache.commons.codec.binary.Base64;
import org.apache.commons.lang.StringUtils;
import sun.misc.BASE64Decoder;
import sun.misc.BASE64Encoder;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;

public class Base64CompressUtils {

    /**
     * 在线图片转换成base64字符串
     *
     * @param imgURL 图片线上路径
     * @return
     * @author ZHANGJL
     * @dateTime 2018-02-23 14:43:18
     */
    public static String ImageToBase64ByOnline(String imgURL) {
        ByteArrayOutputStream data = new ByteArrayOutputStream();
        try {
            // 创建URL
            URL url = new URL(imgURL);
            byte[] by = new byte[1024];
            // 创建链接
            HttpURLConnection conn = (HttpURLConnection) url.openConnection();
            conn.setRequestMethod("GET");
            conn.setConnectTimeout(5000);
            InputStream is = conn.getInputStream();

            // 将内容读取内存中
            int len = -1;
            while ((len = is.read(by)) != -1) {
                data.write(by, 0, len);
            }
            // 关闭流
            is.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
        // 对字节数组Base64编码
        BASE64Encoder encoder = new BASE64Encoder();
        String str=encoder.encode(data.toByteArray());
        //压缩Base64编码并输出
        return resizeImageTo40K(str);
    }

    /**
     * 压缩base64编码至40K以内
     * @param base64Img
     * @return
     */
    public static String resizeImageTo40K(String base64Img) {
        try{
            BASE64Decoder decoder = new BASE64Decoder();
            byte[] bytes1 = decoder.decodeBuffer(base64Img);
            InputStream   stream = new ByteArrayInputStream(bytes1);
            BufferedImage src = ImageIO.read(stream);
            BufferedImage output = Thumbnails.of(src).size(src.getWidth() / 3, src.getHeight() / 3).asBufferedImage();
            String base64 = imageToBase64(output);
            if (base64.length() - base64.length() / 8 * 2 > 40000) {
                output = Thumbnails.of(output).scale(1 / (base64.length() / 40000)).asBufferedImage();
                base64 = imageToBase64(output);
            }
            return base64;
        } catch (Exception e) {
            return base64Img;
        }
    }
    // BufferedImage转换成base64，在这里需要设置图片格式，如下是jpg格式图片：
    public static String imageToBase64(BufferedImage bufferedImage) {
        Base64 encoder = new Base64();
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        try {
            ImageIO.write(bufferedImage, "jpg", baos);
        } catch (IOException e) {
        }
        return new String(encoder.encode((baos.toByteArray())));
    }
	
	/**
     * 本地图片转换成base64字符串
     *
     * @param imgFile 图片本地路径
     * @return
     * @author ZHANGJL
     * @dateTime 2018-02-23 14:40:46
     */
    public static String ImageToBase64ByLocal(String imgFile) {// 将图片文件转化为字节数组字符串，并对其进行Base64编码处理


        InputStream in = null;
        byte[] data = null;

        // 读取图片字节数组
        try {
            in = new FileInputStream(imgFile);

            data = new byte[in.available()];
            in.read(data);
            in.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
        // 对字节数组Base64编码
        BASE64Encoder encoder = new BASE64Encoder();

        return encoder.encode(data);// 返回Base64编码过的字节数组字符串
    }


    /**
     * base64字符串转换成图片
     *
     * @param imgStr      base64字符串
     * @param imgFilePath 图片存放路径
     * @return
     * @author ZHANGJL
     * @dateTime 2018-02-23 14:42:17
     */
    public static boolean Base64ToImage(String imgStr, String imgFilePath) { // 对字节数组字符串进行Base64解码并生成图片

        if (StringUtils.isEmpty(imgStr)) // 图像数据为空
            return false;

        BASE64Decoder decoder = new BASE64Decoder();
        try {
            // Base64解码
            byte[] b = decoder.decodeBuffer(imgStr);
            for (int i = 0; i < b.length; ++i) {
                if (b[i] < 0) {// 调整异常数据
                    b[i] += 256;
                }
            }
            OutputStream out = new FileOutputStream(imgFilePath);
            out.write(b);
            out.flush();
            out.close();
            return true;
        } catch (Exception e) {
            return false;
        }
    }
}

3.测试

package com. xxx.flinksql;

import com. xxx.flinksql.udf.utils.Base64CompressUtils;
import com. xxx.flinksql.udf.utils.Base64Utils;

public class Base64UtilsTest {
    public static void main(String[] args) throws Exception {

//        //本地图片地址
//        String url = "/Users/XXX/Desktop/图片/codetest.jpg";
//        String str = Base64CompressUtils.ImageToBase64ByLocal(url);
//        System.out.println(str);
//      Base64CompressUtils.Base64ToImage(str, "/Users/XXXX/Desktop/图片/test1.jpg");

        //在线图片地址
        String string = "https://XXX/o/7Z866CA1UFLSYY8XYEXWY5JX3I1X1XF6129SKA4";
        //在线压缩
        String ste2= Base64CompressUtils.ImageToBase64ByOnline(string);
        System.out.println("Base64编码压缩"+ste2);
       Base64CompressUtils.Base64ToImage(ste2, "/Users/xxx/Desktop/图片/cod压缩.jpg");


        //base64转图片
        String ste3="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";
        Base64CompressUtils.Base64ToImage(ste3, "/Users/XXX/Desktop/图片/cod压缩100.jpg");

    }



}

可以看出图片由259kb压缩至44kb