将base64加密之后的图片文件流写为文件

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原创 最新推荐文章于 2026-07-08 09:31:25 发布 1.9w 阅读 AI 写同款· GEO 优化 ›
PHP将远程图片加密成base64编码 PHP将远程图片加密成base64编码 解析：PHP代码实现将远程图片下载到本地，在载入图片进行base64编码。 例一：代码将图片保存为1.jpg，多次执行会覆盖此图片。 <?php $url="https://mgtk.suyuan1688.com/col/9/cs30.jpg"; $new_file = "./"."1.jpg"; //图片类型getimagesize($url)可... 阅读详情

流水账代码：

public class ImagetoImageUrlUtil {

	private static final Logger logger = Logger
			.getLogger(ImagetoImageUrlUtil.class);

	@Autowired
	private static int MAXSIZE = 1024 * 1024 * 4;

	public static String upLoadImage(String image,String uploadPath,String readPath) {
		FileOutputStream fos = null;
		BufferedOutputStream bos = null;
		String newFileName = new SimpleDateFormat("yyyyMMddHHmmssSSS")
				.format(new Date())
				+ "_"
				+ new Random().nextInt(10000)
				+"."
				+ image.split(",")[0].split("/")[1].split(";")[0];
		try {
			byte[] photoimg = new BASE64Decoder().decodeBuffer(image.split(",")[1]);
			for (int i = 0; i < photoimg.length; ++i) {
				if (photoimg[i] < 0) {
					// 调整异常数据
					photoimg[i] += 256;
				}
			}
			System.out.println("图片的大小：" + photoimg.length);
			logger.info("uploadPath :" + uploadPath);
			logger.info("readPath :" + readPath);
			if (photoimg.length < MAXSIZE) {
				fos = new FileOutputStream(new File(uploadPath + newFileName));
				bos = new BufferedOutputStream(fos);
				bos.write(photoimg);
			} else {
				throw new Exception("图片大小不能超过4M");
			}
		} catch (Exception e) {
			logger.info("Exception" + e.getMessage());
			e.printStackTrace();
		} finally {
			if (bos != null) {
				try {
					bos.close();
				} catch (IOException e1) {
					e1.printStackTrace();
				}
			}
			if (fos != null) {
				try {
					fos.close();
				} catch (IOException e1) {
					e1.printStackTrace();
				}
			}
		}
		String pictureUrl = readPath + newFileName;
		return pictureUrl;
	}
	public static void main(String[] args) {
		
		ImagetoImageUrlUtil.upLoadImage("data:image/png;base64,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 


	}
}


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Java图片Base64加密与解密技术详解 类被设计为支持基本的Base64编码和解码操作，同时也支持带填充和不带填充的Base64 URL安全编码。这种设计使得开发者可以很容易地在不同的应用场景中选择合适的编码方式。从使用优势来看，类对比sun.misc包中的实现，主要在以下几个方面进行了改进：线程安全类中的操作是线程安全的，可以被多个线程安全地调用。灵活性：它提供了不同的编码器和解码器来满足不同场景下的需求。可扩展性：通过提供编码器和解码器的接口，允许开发者实现自己的编码规则，为特定需求提供支持。 阅读详情

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等风来 2033

二维码生成器

#include "stdio.h" #include "stdlib.h" //#include "windows.h"//system("mode con:cols=82 lines=43");要用这个加上 //wxp://f2f0yG-RsMvpyie_IO4W 这是我的微信收款码的数据，用这个生成的二维码可以收款，当然你自己的也可以做 typedef unsigned char u8; //常量 #define Version 6 #define ECLevel 2 //纠错等级为M

m0_64150070的博客 1万+

Hermes Agent 对阵 OpenClaw：自我改进的 AI 队友

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xiaoshun007的专栏 1571

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sun0322 1万+

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java实现图片文件转Base64编码加密解密

代码如下，有基本注释，直接复制过去，可能需要导包 import java.io.File; import java.io.FileInputStream; import java.io.FileOutputStream; import sun.misc.BASE64Decoder; import sun.misc.BASE64Encoder;     //图片文件转Base64编码 pub...

LeBronRaymoneJames的博客 1万+

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业务场景是：对页面图片或者文件的src加密，即打开F12不可获取到图片地址。 具体实现：后台获取文件的真实地址，对地址进行Base64加密，页面采用指定格式回显即可。 Base64加密工具类 import org.apache.commons.codec.binary.Base64; import sun.misc.BASE64Decoder; import java.io.*; public class Base64ToImg { public static String get

用心创造梦想 3032

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*本事例主要讲了如下几点:  * 1:将图片转换为BASE64加密字符串.  * 2:将图片流转换为BASE64加密字符串.  * 3:将BASE64加密字符串转换为图片.  * 4:在jsp文件中以引用的方式和BASE64加密字符串方式展示图片. 首先看工具类: package com.ilucky.util.image; import java.awt.image.Buffere

sidongxue2的专栏 1万+

java中Base64图片加密解密保存

/** * base64字符串转图片 * @param imgStr 图片的base64 * @param path 将要生成的地址 * @return */ public static String generateImage(String imgStr, String path) { //如果图像数据为空 if (imgStr == null) { return null...

曾小怪的博客 3460

C++ Base64转图片&&图片转Base64

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my_angle2016的博客 1万+

vue base64 文件、图片解密

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一只小孙鼠的博客 2702

改变base64加密图片的大小

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yy1209357299的博客 5421

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止水 1796

详述图片base64加密的原理，告诉你什么是“/9j/“

    欢迎大家搜索“小猴子的技术笔记”关注我的公众号，有问题可以及时和我交流。     在日常的生活中，我们肯定都经历过类似这样的场景：报名考试上传图片，网站要求的是上传的照片不能大于多少，而且要求是“.jpg”的格式。     于是你高高兴兴的把自己最漂亮的照片上传上去了，但是网站却提示你照片格式不正确，让你重新上传。这个时候内心不知道有多少疑惑涌上心头（其实是草泥马在奔腾）我的照片明明就是“.jpg”结尾的，而且大小也符合规范，为啥就不行呢？     我们通常的会认为（Windows电脑情况下，Ma

MonkeyBrothers的博客 9370

jmeter（图片进行base64加密发送）

操作系统：Windows jmeter版本：5.1.1 说明：这个项目需要对图片进行base64加密发送请求 1、自己使用eclipse编写一个base64的加密代码（可以找开发或百度），导出为 jar 包，本人只是加密图片，代码如下： package com.mytest.functions; import java.io.FileInputStream; import ja...

weixin_30455023的博客 1566

将图片文件读入字符串并进行base64加密

import java.io.*;import sun.misc.*;public class ReadBase64Pic{ private String base64str=null; private String picname="d:/1.gif";//图片源 FileInputStream file; private ReadBase64Pic() { // System.out.prin

fogu77的专栏 1289
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