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Java实现图片与Base64编码互转

2016-07-14 01:15:07

分类:软件编程

淘宝里面的html用base64转换图片,不知道为什么,不过看起来好像很美好,话不多说,直接上代码:import java.io.FileInputStream;import java.io.FileOutputStream;import java.io.IOException;import java.io.InputStream;import java.io.OutputStream;import sun.misc.BASE64Decoder;import sun.misc.BASE64Encoder;public class Base64Image { public static void main(String[] args) { // 测试从Base64编码转换为图片文件 String strImg = "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"; GenerateImage(strImg, "D:\\wangyc.jpg"); // 测试从图片文件转换为Base64编码 System.out.println(GetImageStr("d:\\wangyc.jpg")); } 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; } }}以上就是本文的全部内容,了解更多Java的语法,大家可以查看:《Thinking in Java 中文手册》、《JDK 1.7 参考手册官方英文版》、《JDK 1.6 API java 中文参考手册》、《JDK 1.5 API java 中文参考手册》,也希望大家多多支持脚本之家。

淘宝里面的html用base64转换图片,不知道为什么,不过看起来好像很美好,话不多说,直接上代码:import java.io.FileInputStream;import java.io.FileOutputStream;import java.io.IOException;import java.io.InputStream;import java.io.OutputStream;import sun.misc.BASE64Decoder;import sun.misc.BASE64Encoder;public class Base64Image { public static void main(String[] args) { // 测试从Base64编码转换为图片文件 String strImg = "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"; GenerateImage(strImg, "D:\\wangyc.jpg"); // 测试从图片文件转换为Base64编码 System.out.println(GetImageStr("d:\\wangyc.jpg")); } 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; } }}以上就是本文的全部内容,了解更多Java的语法,大家可以查看:《Thinking in Java 中文手册》、《JDK 1.7 参考手册官方英文版》、《JDK 1.6 API java 中文参考手册》、《JDK 1.5 API java 中文参考手册》,也希望大家多多支持脚本之家。

Java多线程实例 3种实现方法Java中的多线程有三种实现方式:1.继承Thread类,重写run方法。Thread本质上也是一个实现了Runnable的实例,他代表一个线程的实例,并且启动线程的唯一方法就是通过Thread类的start方法。2.实现Runnable接口,并实现该接口的run()方法.创建一个Thread对象,用实现的Runnable接口的对象作为参数实例化Thread对象,调用此对象的start方法。3.实现Callable接口,重写call方法。Callable接口与Runnable接口的功能类似,但提供了比Runnable更强大的功能。有以下三点1).Callable可以在人物结束后提供一个返回值,Runnable没有提供这个功能。2).Callable中的call方法可以抛出异常,而Runnable的run方法不能抛出异常。3).运行Callable可以拿到一个Future对象,表示异步计算的结果,提供了检查计算是否完成的方法。需要注意的是,无论用那种方式实现了多线程,调用start方法并不意味着立即执行多线程代码,而是使得线程变为可运行状态。run start的区别start方法是启动一个线程,而线程中的run方法来完成实际的操作。如果开发人员直接调用run方法,那么就会将这个方法当作一个普通函数来调用,并没有多开辟线程,开发人员如果希望多线程异步执行,则需要调用start方法。sleep wait的区别1.两者处理的机制不同,sleep方法主要是,让线程暂停执行一段时间,时间一到自动恢复,并不会释放所占用的锁,当调用wait方法以后,他会释放所占用的对象锁,等待其他线程调用notify方法才会再次醒来。2.sleep是Threa的静态方法,是用来控制线程自身流程的,而wait是object的方法,用于进行线程通信。3.两者使用的区域不同。sleep可以在任何地方使用,wait必须放在同步控制方法,或者语句块中执行。synchronized notify wait的运用synchronized关键字有两种用法,synchronized方法和synchronized语句块。public synchronized void function(){}synchronized(object){}当某个资源被synchronized所修饰,线程1线程2等多个线程在共同请求这个资源,线程1先请求到,调用了对象的wait方法释放了对象的锁,此时线程2可以对这个对象进行访问,在工作结束时可以调用对象的notify方法,唤醒等待队列中正在等待的线程,此时被唤醒的线程将会再一次拿到对象锁,对对象进行操作。可以调用notifyAll方法,唤醒等待队列中的所有线程。需要注意的是一个线程被唤醒不代表立即获取对象锁,必须等调用的线程对象的方法推出synchronized块释放对象锁后,被唤醒的进程才会获得对象锁。以下为大家提供一个简单的代码实例:分别用Runnable和Thread方法实现,展示各个方法的实现Runnable实现多线程的方法public class TestRunnable implements Runnable { private int time=1; private SourceA s; private String id = "001"; public TestRunnable(SourceA s){ this.s = s; } public void setTime(int time) { this.time = time; } @Override public void run() { try { System.out.println("i will sleep"+ time); Thread.sleep(time); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } synchronized(s){ s.notify(); System.out.println("我唤醒了002!"); System.out.println("我存入了id"+id); s.setSource(id); } }}继承Thread实现多线程的方法public class TestThread extends Thread { private int time = 1; private SourceA s = null; String id = "002"; public void setTime(int time) { this.time = time; } public TestThread(SourceA s){ this.s = s ; } @Override public void run() { try { System.out.println("i will sleep"+ time); sleep(time); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } synchronized(s){ try { System.out.println("我"+ id +"要进行等待了"); s.wait(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } System.out.println("我被唤醒了"); System.out.println("我存入了id"+id); s.setSource(id); } }}SourceA类代码:public class SourceA { private List<String> list = new ArrayList<String>(); public synchronized void getSource(){ for(int i=0;i<list.size();i++){ System.out.println(list.get(i)); } } public synchronized void setSource(String id){ list.add(id); }}Test测试类代码:public void test(){ SourceA s = new SourceA(); TestThread tt = new TestThread(s); TestRunnable tr = new TestRunnable(s); Thread t = new Thread(tr); System.out.println("调用线程1"); tt.start(); System.out.println("调用线程2"); t.start(); }结果图片:

没有借助任何第三方库,完全基于JAVA Socket实现一个最小化的HTTP文件下载客户端。完整的演示如何通过Socket实现下载文件的HTTP请求(request header)发送如何从Socket中接受HTTP响应(Response header, Response body)报文并解析与保存文件内容。如何通过SwingWork实现UI刷新,实时显示下载进度。首先看一下UI部分:【添加下载】按钮:点击弹出URL输入框,用户Copy要下载文件URL到输入框以后,点击[OK]按钮即开始下载【清除完成】按钮:清除所有已经下载完成的文件列表文件下载状态分为以下几种:package com.gloomyfish.socket.tutorial.http.download; public enum DownLoadStatus { NOT_STARTED, IN_PROCESS, COMPLETED, ERROR } UI部分主要是利用Swing组件完成。点击【添加下载】执行的代码如下:final JDialog dialog = new JDialog(this,"Add File Link",true); dialog.getContentPane().setLayout(new BorderLayout()); // dialog.setSize(new Dimension(400,200)); final URLFilePanel panel = new URLFilePanel(); panel.setUpListener(new ActionListener(){ @Override public void actionPerformed(ActionEvent e) { if("OK".equals(e.getActionCommand())){ if(panel.validateInput()) { DownloadDetailStatusInfoModel data = new DownloadDetailStatusInfoModel(panel.getValidFileURL()); tableModel.getData().add(data); startDownlaod(); refreshUI(); } dialog.setVisible(false); dialog.dispose(); } else if("Cancel".equals(e.getActionCommand())) { dialog.setVisible(false); dialog.dispose(); } }}); dialog.getContentPane().add(panel, BorderLayout.CENTER); dialog.pack(); centre(dialog); dialog.setVisible(true); 【清除完成】按钮执行的代码如下:private void clearDownloaded() { List<DownloadDetailStatusInfoModel> downloadedList = new ArrayList<DownloadDetailStatusInfoModel>(); for(DownloadDetailStatusInfoModel fileStatus : tableModel.getData()) { if(fileStatus.getStatus().toString().equals(DownLoadStatus.COMPLETED.toString())) { downloadedList.add(fileStatus); } } tableModel.getData().removeAll(downloadedList); refreshUI(); } 让JFrame组件居中显示的代码如下:public static void centre(Window w) { Dimension us = w.getSize(); Dimension them = Toolkit.getDefaultToolkit().getScreenSize(); int newX = (them.width - us.width) / 2; int newY = (them.height - us.height) / 2; w.setLocation(newX, newY); } HTTP协议实现部分:概述:HTTP请求头与相应头报文基本结构与解释HTTP请求:一个标准的HTTP请求报文如其中请求头可以有多个,message-body可以没有,不是必须的。请求行的格式如下:Request-Line = Method SP Request-URI SPHTTP-Version CRLF 举例说明如下:Request-Line = GET http://www.w3.org/pub/WWW/TheProject.htmlHTTP/1.1\r\n其中SP表示空格, CRLF表示回车换行符\r\n当你想要上传文件时候,使用Post方式来填写数据到message-body中即可。发送一个简单的HTTP请求报文如下: GET /pub/WWW/TheProject.html HTTP/1.1\r\n Host: www.w3.org\r\n \r\nHTTP响应:一个标准的HTTP响应报文如下最先得到是状态行,其格式如下:Status-Line = HTTP-Version SP Status-CodeSP Reason-Phrase CRLF, 一个状态行的简单例子如下:Status-Line = HTTP/1.1 200 OK一般大家最喜欢的就是Status-Code会给你很多提示,最常见的就是404,500等状态码。状态码的意思可以参考RFC2616中的解释。下载文件最要紧是的检查HTTP响应头中的Content-Length与Content-Type两个中分别声明了文件的长度与文件的类型。其它如Accept-Ranges表示接受多少到多少的字节。可能在多线程下载中使用。搞清楚了HTTP请求与响应的报文格式以后,我们就可以通过Socket按照报文格式解析内容,发送与读取HTTP请求与响应。具体步骤如下:一、根据用户输入的文件URL建立Socket连接URL url = new URL(fileInfo.getFileURL()); String host = url.getHost(); int port = (url.getPort() == -1) ? url.getDefaultPort():url.getPort(); System.out.println("Host Name = " + host); System.out.println("port = " + port); System.out.println("File URI = " + url.getFile()); // create socket and start to construct the request line Socket socket = new Socket(); SocketAddress address = new InetSocketAddress(host, port); socket.connect(address); 用了URL类来把用户输入的url string变成容易解析一点的URL。二、构造HTTP请求BufferedWriter bufferedWriter = new BufferedWriter(new OutputStreamWriter(socket.getOutputStream(), "UTF8")); String requestStr = "GET " + url.getFile() + " HTTP/1.1\r\n"; // request line // construct the request header - 构造HTTP请求头(request header) String hostHeader = "Host: " + host + "\r\n"; String acceptHeader = "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8\r\n"; String charsetHeader = "Accept-Charset: GBK,utf-8;q=0.7,*;q=0.3\r\n"; String languageHeader = "Accept-Language: zh-CN,zh;q=0.8\r\n"; String keepHeader = "Connection: close\r\n"; 三、发送HTTP请求// 发送HTTP请求 bufferedWriter.write(requestStr); bufferedWriter.write(hostHeader); bufferedWriter.write(acceptHeader); bufferedWriter.write(charsetHeader); bufferedWriter.write(languageHeader); bufferedWriter.write(keepHeader); bufferedWriter.write("\r\n"); // 请求头信息发送结束标志 bufferedWriter.flush(); 四、接受HTTP响应并解析内容,写入创建好的文件// 准备接受HTTP响应头并解析 CustomDataInputStream input = new CustomDataInputStream(socket.getInputStream()); File myFile = new File(fileInfo.getStoreLocation() + File.separator + fileInfo.getFileName()); String content = null; HttpResponseHeaderParser responseHeader = new HttpResponseHeaderParser(); BufferedOutputStream output = new BufferedOutputStream(new FileOutputStream(myFile)); boolean hasData = false; while((content = input.readHttpResponseHeaderLine()) != null) { System.out.println("response header contect -->> " + content); responseHeader.addResponseHeaderLine(content); if(content.length() == 0) { hasData = true; } if(hasData) { int totalBytes = responseHeader.getFileLength(); if(totalBytes == 0) break; // no response body and data int offset = 0; byte[] myData = null; if(totalBytes >= 2048) { myData = new byte[2048]; } else { myData = new byte[totalBytes]; } int numOfBytes = 0; while((numOfBytes = input.read(myData, 0, myData.length)) > 0 && offset < totalBytes) { offset += numOfBytes; float p = ((float)offset) / ((float)totalBytes) * 100.0f; if(offset > totalBytes) { numOfBytes = numOfBytes + totalBytes - offset; p = 100.0f; } output.write(myData, 0, numOfBytes); updateStatus(p); } hasData = false; break; } } 简单的HTTP响应头解析类HttpResponseHeaderParser代码如下:package com.gloomyfish.socket.tutorial.http.download; import java.util.HashMap; import java.util.Map; /** * it can parse entity header, response head * and response line <status code, CharSet, ect...> * refer to RFC2616,关于HTTP响应头,请看RFC文档,描写的很详细啊!! */ public class HttpResponseHeaderParser { public final static String CONTENT_LENGTH = "Content-Length"; public final static String CONTENT_TYPE = "Content-Type"; public final static String ACCEPT_RANGES = "Accetp-Ranges"; private Map<String, String> headerMap; public HttpResponseHeaderParser() { headerMap = new HashMap<String, String>(); } /** * <p> get the response header key value pair </p> * @param responseHeaderLine */ public void addResponseHeaderLine(String responseHeaderLine) { if(responseHeaderLine.contains(":")) { String[] keyValue = responseHeaderLine.split(": "); if(keyValue[0].equalsIgnoreCase(CONTENT_LENGTH)) { headerMap.put(CONTENT_LENGTH, keyValue[1]); } else if(keyValue[0].equalsIgnoreCase(CONTENT_TYPE)) { headerMap.put(CONTENT_TYPE, keyValue[1]); } else { headerMap.put(keyValue[0], keyValue[1]); } } } public int getFileLength() { if(headerMap.get(CONTENT_LENGTH) == null){ return 0; } return Integer.parseInt(headerMap.get(CONTENT_LENGTH)); } public String getFileType() { return headerMap.get(CONTENT_TYPE); } public Map<String, String> getAllHeaders() { return headerMap; } } 以上就是本文的全部内容,希望对大家的学习java程序设计有所帮助。

本文实例讲述了Java使用正则表达式获取子文本的方法。分享给大家供大家参考,具体如下:原来,group是针对()来说的,group(0)就是指的整个串,group(1) 指的是第一个括号里的东西,group(2)指的第二个括号里的东西。最近学习正则表达式,发现Java中的一些术语与其他地方描述的有所差异。就这个问题卡了我半天,坑爹,写到博客,方便其他新学的朋友。比如Java正则表达式中的“组”概念与《正则表达式必知必会》一书中讲述的“子表达式”其实是一样的,只是表述不同而已。由此也引发了使用JavaAPI时对group(int group)、start(int group)、end(int group)不是太理解。程序如下package cn.mingyuan.regexp.singlecharacter;import java.util.regex.Matcher;import java.util.regex.Pattern;public class GroupIndexAndStartEndIndexTest {/*** @param args*/public static void main(String[] args) { // TODO Auto-generated method stub String str = "Hello,World! in Java."; Pattern pattern = Pattern.compile("W(or)(ld!)"); Matcher matcher = pattern.matcher(str); while(matcher.find()){ System.out.println("Group 0:"+matcher.group(0));//得到第0组——整个匹配 System.out.println("Group 1:"+matcher.group(1));//得到第一组匹配——与(or)匹配的 System.out.println("Group 2:"+matcher.group(2));//得到第二组匹配——与(ld!)匹配的,组也就是子表达式 System.out.println("Start 0:"+matcher.start(0)+" End 0:"+matcher.end(0));//总匹配的索引 System.out.println("Start 1:"+matcher.start(1)+" End 1:"+matcher.end(1));//第一组匹配的索引 System.out.println("Start 2:"+matcher.start(2)+" End 2:"+matcher.end(2));//第二组匹配的索引 System.out.println(str.substring(matcher.start(0),matcher.end(1)));//从总匹配开始索引到第1组匹配的结束索引之间子串——Wor }}}程序的运行结果为:Group 0:World!Group 1:orGroup 2:ld!Start 0:6 End 0:12Start 1:7 End 1:9Start 2:9 End 2:12Wor总结:其实group(),start(),end()所带的参数i就是正则表达式中的子表达式索引(第几个子表达式),由于刚开始对Java正则表达式中的组的概念不清晰,导致理解困难。当将“组”的概念与“子表达式”对应起来之后,理解matcher的group,start,end就完全没有障碍了。PS:这里再为大家提供2款非常方便的正则表达式工具供大家参考使用:JavaScript正则表达式在线测试工具:http://tools.jb51.net/regex/javascript正则表达式在线生成工具:http://tools.jb51.net/regex/create_reg更多关于java算法相关内容感兴趣的读者可查看本站专题:《Java正则表达式技巧大全》、《Java数据结构与算法教程》、《Java操作DOM节点技巧总结》、《Java文件与目录操作技巧汇总》和《Java缓存操作技巧汇总》希望本文所述对大家java程序设计有所帮助。

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