这里使用的jar包是commons-codec-1.10.jar;
示例代码
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream; import org.apache.commons.codec.binary.Base64; /**
* 将图片转换为Base64<br>
* 将base64编码字符串解码成img图片
* @创建时间 2015-06-01 15:50
*
*/
public class Img2Base64Util { public static void main(String[] args) {
String imgFile = "d:\\3.jpg";//待处理的图片
String imgbese=getImgStr(imgFile);
System.out.println(imgbese.length());
System.out.println(imgbese);
String imgFilePath = "d:\\332.jpg";//新生成的图片
generateImage(imgbese,imgFilePath);
}
/**
* 将图片转换成Base64编码
* @param imgFile 待处理图片
* @return
*/
public static String getImgStr(String imgFile){
//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 InputStream in = null;
byte[] data = null;
//读取图片字节数组
try
{
in = new FileInputStream(imgFile);
data = new byte[in.available()];
in.read(data);
in.close();
}
catch (IOException e)
{
e.printStackTrace();
}
return new String(Base64.encodeBase64(data));
} /**
* 对字节数组字符串进行Base64解码并生成图片
* @param imgStr 图片数据
* @param imgFilePath 保存图片全路径地址
* @return
*/
public static boolean generateImage(String imgStr,String imgFilePath){
//
if (imgStr == null) //图像数据为空
return false; try
{
//Base64解码
byte[] b = Base64.decodeBase64(imgStr);
for(int i=0;i<b.length;++i)
{
if(b[i]<0)
{//调整异常数据
b[i]+=256;
}
}
//生成jpeg图片 OutputStream out = new FileOutputStream(imgFilePath);
out.write(b);
out.flush();
out.close();
return true;
}
catch (Exception e)
{
return false;
}
}
}
附上在html中显示图片的示例；
转换后的图片base64编码字符串为/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAIBAQIBAQICAgICAgICAwUD......
先给转换后的字符串加入头文件<img src="data:image/jpg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAIBAQIBAQICAgICAgICAwUD......">;
<img src="data:image/jpg;base64,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
">
aaarticlea/jpg;base64,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" alt="" />