Java实现图片压缩

1、Thumbnailator简介

        对于图片处理,JDK中也提供了对应的工具类,不过处理起来会很麻烦,而Thumbnailator是一个Google开源的优秀图片处理的第三方Java类库,处理效果远比Java API的好。
        Thumbnailator可以使用很少的代码实现图片的压缩功能,当然了,Thumbnailator也提供给图片缩放、旋转与加水印等功能。

2、引入依赖

2.1、github地址

        https://github.com/coobird/thumbnailator

2.2、maven地址

        <dependency>
            <groupId>net.coobird</groupId>
            <artifactId>thumbnailator</artifactId>
            <version>0.4.17</version>
        </dependency>

3、代码

import net.coobird.thumbnailator.Thumbnails;

import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.*;
import java.math.BigDecimal;

/**
 * 图片处理工具类.
 *
 * @author admin
 * @date 2022-09-23 17:10
 */
public class PicUtils {

    public static void main(String[] args) {

        PicUtils.compressPicForScale("C:\\Users\\Li\\Downloads\\test.jpeg", "C:\\Users\\Li\\Downloads\\test1.jpeg",
                100, 0.8, 2560, 1440); // 图片小于1000kb

    }

    /**
     * 根据指定大小和指定精度压缩图片
     *
     * @param srcPath      源图片地址
     * @param desPath      目标图片地址
     * @param desFileSize  指定图片大小,单位kb(压缩到多大以内)
     * @param accuracy     精度,递归压缩的比率,建议小于0.9
     * @param desMaxWidth  目标最大宽度
     * @param desMaxHeight 目标最大高度
     * @return 目标文件路径
     */
    public static String compressPicForScale(String srcPath, String desPath, long desFileSize, double accuracy, int desMaxWidth, int desMaxHeight) {
        if (!new File(srcPath).exists()) {
            return null;
        }
        try {
            File srcFile = new File(srcPath);
            long srcFileSize = srcFile.length();
            System.out.println("源图片:" + srcPath + ",大小:" + srcFileSize / 1024 + "kb");
            //获取图片信息
            BufferedImage bim = ImageIO.read(srcFile);
            int srcWidth = bim.getWidth();
            int srcHeight = bim.getHeight();

            //先转换成jpg
            Thumbnails.Builder<File> builder = Thumbnails.of(srcFile).outputFormat("jpg");

            // 指定大小(宽或高超出会才会被缩放)
            if (srcWidth > desMaxWidth || srcHeight > desMaxHeight) {
                builder.size(desMaxWidth, desMaxHeight);
            } else {
                //宽高均小,指定原大小
                builder.size(srcWidth, srcHeight);
            }

            // 写入到内存
            ByteArrayOutputStream bos = new ByteArrayOutputStream(); //字节输出流(写入到内存)
            builder.toOutputStream(bos);

            // 递归压缩,直到目标文件大小小于desFileSize
            byte[] bytes = compressPicCycle(bos.toByteArray(), desFileSize, accuracy);

            // 输出到文件
            File desFile = new File(desPath);
            FileOutputStream fos = new FileOutputStream(desFile);
            fos.write(bytes);
            fos.close();

            System.out.println("目标图片:" + desPath + ",大小" + desFile.length() / 1024 + "kb");
            System.out.println("图片压缩完成!");
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
        return desPath;
    }

    private static byte[] compressPicCycle(byte[] bytes, long desFileSize, double accuracy) throws IOException {
        // File srcFileJPG = new File(desPath);
        long srcFileSizeJPG = bytes.length;
        // 2、判断大小,如果小于500kb,不压缩;如果大于等于500kb,压缩
        if (srcFileSizeJPG <= desFileSize * 1024) {
            return bytes;
        }
        // 计算宽高
        BufferedImage bim = ImageIO.read(new ByteArrayInputStream(bytes));
        int srcWidth = bim.getWidth();
        int srcHeight = bim.getHeight();
        int desWidth = new BigDecimal(srcWidth).multiply(new BigDecimal(accuracy)).intValue();
        int desHeight = new BigDecimal(srcHeight).multiply(new BigDecimal(accuracy)).intValue();

        ByteArrayOutputStream bos = new ByteArrayOutputStream(); //字节输出流(写入到内存)
        Thumbnails.of(new ByteArrayInputStream(bytes)).size(desWidth, desHeight).outputQuality(accuracy).toOutputStream(bos);
        return compressPicCycle(bos.toByteArray(), desFileSize, accuracy);
    }

}

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转载自blog.csdn.net/weixin_43192102/article/details/127012131