图片上传

图片上传最简单的方式是在前端将图片转为base64传到后台，后台可以直接保存到数据库，或者将base64转为图片保存，返回图片访问路径。

js(图片转base64)，这里要注意，如果需用用base64回显图片的话，要加上前缀（data:image/png;base64,）

//压缩图片转成base64
            function getBase64Image(img) {
                var canvas = document.createElement("canvas");
                var width = img.width;
                var height = img.height;
                if (width > height) {
                    if (width > 100) {
                        height = Math.round(height *= 100 / width);
                        width = 100;
                    }
                } else {
                    if (height > 100) {
                        width = Math.round(width *= 100 / height);
                    }
                    height = 100;
                }
                canvas.width = width;
                canvas.height = height;
                var ctx = canvas.getContext('2d');
                ctx.drawImage(img, 0, 0, width, height);

                var dataUrl = canvas.toDataURL('image/png', 0.8);
                var n1 = dataUrl.length;
                var n2 = dataUrl.indexOf(",");
                var Data = decodeURI(dataUrl.substr(n2 + 1, n1 - n2));
                return Data;
            }

java(base64转为图片保存)，base64转图片的时候，要将前缀 data:image/png;base64, 去掉，否则会导致图片打开失败

package SSM.api.apiutils;

import sun.misc.BASE64Decoder;
import sun.misc.BASE64Encoder;

import java.io.*;

/**
 * @author zhouhe
 * @date 2020/7/9 10:04
 */
public class ImageUtils {

    /**
     * base64 转图片
     * @param imgFilePath
     * @return
     */
    public static String GetImageStr(String imgFilePath) {// 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
        byte[] data = null;

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

    public static boolean GenerateImage(String imgStr, String imgFilePath) {// 对字节数组字符串进行Base64解码并生成图片
        if (imgStr == null) // 图像数据为空
            return false;
        BASE64Decoder decoder = new BASE64Decoder();
        try {
            // Base64解码
            byte[] bytes = decoder.decodeBuffer(imgStr);
            for (int i = 0; i < bytes.length; ++i) {
                if (bytes[i] < 0) {// 调整异常数据
                    bytes[i] += 256;
                }
            }
            // 生成jpeg图片
            OutputStream out = new FileOutputStream(imgFilePath);
            out.write(bytes);
            out.flush();
            out.close();
            return true;
        } catch (Exception e) {
            return false;
        }
    }

    public static void main(String[] args){
        // 测试从Base64编码转换为图片文件
        String strImge = "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";
        GenerateImage(strImge, "D:\11.png");
        // 测试从图片文件转换为Base64编码
//         System.out.println(GetImageStr("d:\11.jpg"));
    }
}