Java使用图片压缩工具压缩图片的两种方法

pom.xml

<!--thumbnailator图片处理-->
    <dependency>
      <groupId>net.coobird</groupId>
      <artifactId>thumbnailator</artifactId>
      <version>0.4.8</version>
    </dependency>

工具类

 

指定大小，不失真，不丢失精度

package org.example.util;
 
 
import net.coobird.thumbnailator.Thumbnails;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.*;
 
/**
 * @author Gavin.luo
 * @title: PicUtils
 * @projectName MyData
 * @description:
 * @date 2021/7/20 17:30
 */
public class PicUtils {
    //以下是常量,按照阿里代码开发规范,不允许代码中出现魔法值
    private static final Logger logger = LoggerFactory.getLogger(PicUtils.class);
    private static final Integer ZERO = 0;
    private static final Integer ONE_ZERO_TWO_FOUR = 1024;
    private static final Integer NINE_ZERO_ZERO = 900;
    private static final Integer THREE_TWO_SEVEN_FIVE = 3275;
    private static final Integer TWO_ZERO_FOUR_SEVEN = 2047;
    private static final Double ZERO_EIGHT_FIVE = 0.85;
    private static final Double ZERO_SIX = 0.6;
    private static final Double ZERO_FOUR_FOUR = 0.44;
    private static final Double ZERO_FOUR = 0.4;
 
    /**
     * 根据指定大小压缩图片
     *
     * @param imageBytes  源图片字节数组
     * @param desFileSize 指定图片大小，单位kb
     * @return 压缩质量后的图片字节数组
     */
    public static byte[] compressPicForScale(byte[] imageBytes, long desFileSize) {
        if (imageBytes == null || imageBytes.length <= ZERO || imageBytes.length < desFileSize * ONE_ZERO_TWO_FOUR) {
            return imageBytes;
        }
        long srcSize = imageBytes.length;
        double accuracy = getAccuracy(srcSize / ONE_ZERO_TWO_FOUR);
        try {
            while (imageBytes.length > desFileSize * ONE_ZERO_TWO_FOUR) {
                ByteArrayInputStream inputStream = new ByteArrayInputStream(imageBytes);
                ByteArrayOutputStream outputStream = new ByteArrayOutputStream(imageBytes.length);
                Thumbnails.of(inputStream)
                        .scale(accuracy)
                        .outputQuality(accuracy)
                        .toOutputStream(outputStream);
                imageBytes = outputStream.toByteArray();
            }
            logger.info("图片原大小={}kb | 压缩后大小={}kb",
                    srcSize / ONE_ZERO_TWO_FOUR, imageBytes.length / ONE_ZERO_TWO_FOUR);
        } catch (Exception e) {
            logger.error("【图片压缩】msg=图片压缩失败!", e);
        }
        return imageBytes;
    }
 
    /**
     * 自动调节精度(经验数值)
     *
     * @param size 源图片大小
     * @return 图片压缩质量比
     */
    private static double getAccuracy(long size) {
        double accuracy;
        if (size < NINE_ZERO_ZERO) {
            accuracy = ZERO_EIGHT_FIVE;
        } else if (size < TWO_ZERO_FOUR_SEVEN) {
            accuracy = ZERO_SIX;
        } else if (size < THREE_TWO_SEVEN_FIVE) {
            accuracy = ZERO_FOUR_FOUR;
        } else {
            accuracy = ZERO_FOUR;
        }
        return accuracy;
    }
}

不能指定大小，不失真，不丢失精度，压缩会有几百K

package org.example.util;
 
 
import org.springframework.web.multipart.MultipartFile;
import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.InputStream;
 
/**
 * @author Gavin.luo
 * @title: ImgCompression
 * @projectName MyData
 * @description:
 * @date 2021/7/21 14:29
 */
 
public class ImgCompression {
 
    public static byte[] getImageCom(MultipartFile file) throws IOException {
        //获取文件输入流
        InputStream inputStream = file.getInputStream();
        try {
            // 把图片读入到内存中
            BufferedImage bufImg = ImageIO.read(inputStream);
            // 压缩代码,存储图片文件byte数组
            ByteArrayOutputStream bos = new ByteArrayOutputStream();
            //防止图片变红,这一步非常重要
            BufferedImage bufferedImage = new BufferedImage(bufImg.getWidth(), bufImg.getHeight(), BufferedImage.TYPE_INT_RGB);
            bufferedImage.createGraphics().drawImage(bufImg,0,0, Color.WHITE,null);
            //先转成jpg格式来压缩,然后在通过OSS来修改成源文件本来的后缀格式
            ImageIO.write(bufferedImage,"jpg",bos);
            return bos.toByteArray();
        } catch (IOException e) {
            e.printStackTrace();
        }finally {
            inputStream.close();
        }
        return null;
    }
}

使用测试

package org.example.controller;
 
import org.example.util.ImgCompression;
import org.example.util.PicUtils;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;
 
import java.io.*;
import java.util.UUID;
 
/**
 * @author Gavin.luo
 * @title: ImageController
 * @projectName MyData
 * @description:
 * @date 2021/7/21 10:09
 */
@RestController
@RequestMapping("/image")
public class ImageController {
 
 
    @RequestMapping(value = "file/img",method = RequestMethod.POST)
    public String imgUploads(@RequestParam("file") MultipartFile file) throws IOException {
        //压缩图片到指定120K以内,不管你的图片有多少兆,都不会超过120kb,精度还算可以,不会模糊
        byte[] bytes = PicUtils.compressPicForScale(file.getBytes(), 120);
        //生成保存在服务器的图片名称，统一修改原后缀名为:jpg
        String newFileName = UUID.randomUUID() + ".jpg";
        File fOut = new File("C:\\image\\copy\\" + newFileName);
        FileOutputStream fileOutputStream = new FileOutputStream(fOut);
        fileOutputStream.write(bytes);
        fileOutputStream.close();
        return newFileName;
    }
 
    @RequestMapping(value = "file/img2",method = RequestMethod.POST)
    public String imgUploads2(@RequestParam("file") MultipartFile file) throws IOException {
        byte[] bs = ImgCompression.getImageCom(file);
        String newFileName = UUID.randomUUID() + ".jpg";
        File fOut = new File("C:\\image\\copy\\" + newFileName);
        FileOutputStream fileOutputStream = new FileOutputStream(fOut);
        fileOutputStream.write(bs);
        fileOutputStream.close();
        return newFileName;
    }
 
}

 

测试结果：这里我用的是3M的原图进行测试