Java程序对图片的各种处理

Java程序对图片的各种处理2009-06-22 14:02package img;  
import java.awt.Graphics;  
import java.awt.Image;  
import java.awt.Toolkit;  
import java.awt.color.ColorSpace;  
import java.awt.image.BufferedImage;  
import java.awt.image.ColorConvertOp;  
import java.awt.image.CropImageFilter;  
import java.awt.image.FilteredImageSource;  
import java.awt.image.ImageFilter;  
import java.awt.image.ImageProducer;  
import java.io.File;  
import java.io.IOException;  

import javax.imageio.ImageIO;  

public class TestSplit {  


/**
   * 缩放图像
   *  
   * @param srcImageFile
   *            源图像文件地址
   * @param result
   *            缩放后的图像地址
   * @param scale
   *            缩放比例
   * @param flag
   *            缩放选择:true 放大; false 缩小;
   */
public static void scale(String srcImageFile, String result, int scale,  
    boolean flag) {  
   try {  
    BufferedImage src = ImageIO.read(new File(srcImageFile)); // 读入文件  
    int width = src.getWidth(); // 得到源图宽  
    int height = src.getHeight(); // 得到源图长  
    if (flag) {  
     // 放大  
     width = width * scale;  
     height = height * scale;  
    } else {  
     // 缩小  
     width = width / scale;  
     height = height / scale;  
    }  
    Image image = src.getScaledInstance(width, height,  
      Image.SCALE_DEFAULT);  
    BufferedImage tag = new BufferedImage(width, height,  
      BufferedImage.TYPE_INT_RGB);  
    Graphics g = tag.getGraphics();  
    g.drawImage(image, 0, 0, null); // 绘制缩小后的图  
    g.dispose();  
    ImageIO.write(tag, "JPEG", new File(result));// 输出到文件流  
   } catch (IOException e) {  
    e.printStackTrace();  
   }  
}  
    
/**
   * 图像切割
   *  
   * @param srcImageFile
   *            源图像地址
   * @param descDir
   *            切片目标文件夹
   * @param destWidth
   *            目标切片宽度
   * @param destHeight
   *            目标切片高度
   */
public static void cut(String srcImageFile, final String descDir, final int destWidth,  
            final int destHeight) {  
      try {           
            // 读取源图像  
            BufferedImage bi = ImageIO.read(new File(srcImageFile));  
            final int srcWidth = bi.getHeight(); // 源图宽度  
            final int srcHeight = bi.getWidth(); // 源图高度  
            //如果源图片的宽度和长度都小于目标图片，不用处理。  
            if (srcWidth <= destWidth && srcHeight <= destHeight) return;  
              
            // 计算切片的横向和纵向数量  
            int temp = srcWidth / destWidth;  
            int cols = srcWidth % destWidth == 0 ? temp : temp+1; // 切片横向数量  
            temp = srcHeight / destHeight;  
            int rows = srcHeight % destHeight == 0 ? temp : temp+1 ; //切片纵向数量  
               
            // 循环建立切片  
            // 改进的想法:是否可用多线程加快切割速度  
            final Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);  
            for (int i = 0; i < rows; i++) {  
              for (int j = 0; j < cols; j++) {  
                  long bg = System.currentTimeMillis();  
                          

                          
                            // 四个参数分别为图像起点坐标和宽高  
                              // 即: CropImageFilter(int x,int y,int width,int height)  
                              ImageFilter cropFilter = new CropImageFilter(j * destWidth, i * destHeight, Math.min(destWidth,srcWidth - j * destWidth), Math.min(srcHeight - i * destHeight, destHeight));  
                                
                              ImageProducer imgProducer = image.getSource();  
                                
                              Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(imgProducer, cropFilter));  
                                
                              BufferedImage tag = new BufferedImage(Math.min(destWidth, srcWidth - j * destWidth), Math.min(srcHeight - i * destHeight, destHeight), BufferedImage.TYPE_INT_RGB);  
                              Graphics g = tag.getGraphics();  
                              g.drawImage(img, 0, 0, null); // 绘制小图  
                                
                              g.dispose();  
                              // 输出为文件  
                              String small_pic_name_path = descDir+"map_" + i + "_" + j + ".jpg";  
                              
                            ImageIO.write(tag, "JPEG", new File(small_pic_name_path));  
                            System.out.println("Thread"+Thread.currentThread().getId()+"\t切割第\t"+i+"_"+j+"\t张图片，耗时：\t"+(System.currentTimeMillis()-bg)+" 毫秒");  
                              
                        }  
                  }  
                   
                
                          
           }catch (Exception e) {  
            e.printStackTrace();  
          }  
}  
/**
   * 图像类型转换
      * GIF->JPG GIF->PNG PNG->JPG PNG->GIF(X)
      */
public static void convert(String source, String result) {  
   try {  
    File f = new File(source);  
    f.canRead();  
    f.canWrite();  
    BufferedImage src = ImageIO.read(f);  
    ImageIO.write(src, "JPG", new File(result));  
   } catch (Exception e) {  
    // TODO Auto-generated catch block  
    e.printStackTrace();  
   }  
}  
/**
   * 彩色转为黑白
   *  
   * @param source
   * @param result
   */
public static void gray(String source, String result) {  
   try {  
    BufferedImage src = ImageIO.read(new File(source));  
    ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);  
    ColorConvertOp op = new ColorConvertOp(cs, null);  
    src = op.filter(src, null);  
    ImageIO.write(src, "JPEG", new File(result));  
   } catch (IOException e) {  
    e.printStackTrace();  
   }  
}  
/**
   * @param args
   * 3X2 4X3 4X4 5X4
   */
public static void main(String[] args) {  
//    if(1==1){  
//        return;  
//    }  
      //cut("ss.jpg", "./ss/", 256, 256);  
      PictureCutter.cut("54.jpg", "./ss/", 256, 256);  
//    Properties p= System.getProperties();  
//    System.out.println(p);  
}  
public static void cut1(String srcImageFile, final String descDir, final int destWidth,  
            final int destHeight) {  
      try {           
            // 读取源图像  
            BufferedImage bi = ImageIO.read(new File(srcImageFile));  
            final int srcWidth = bi.getHeight(); // 源图宽度  
            final int srcHeight = bi.getWidth(); // 源图高度  
            //如果源图片的宽度和长度都小于目标图片，不用处理。  
            if (srcWidth <= destWidth && srcHeight <= destHeight) return;  
              
            // 计算切片的横向和纵向数量  
            int temp = srcWidth / destWidth;  
            int cols = srcWidth % destWidth == 0 ? temp : temp+1; // 切片横向数量  
            temp = srcHeight / destHeight;  
            int rows = srcHeight % destHeight == 0 ? temp : temp+1 ; //切片纵向数量  
               
            // 循环建立切片  
            // 改进的想法:是否可用多线程加快切割速度  
            final Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);  
            for (int i = 0; i < rows; i++) {  
              for (int j = 0; j < cols; j++) {  
                  long bg = System.currentTimeMillis();  
                          

                          
                            // 四个参数分别为图像起点坐标和宽高  
                              // 即: CropImageFilter(int x,int y,int width,int height)  
                              ImageFilter cropFilter = new CropImageFilter(j * destWidth, i * destHeight, Math.min(destWidth,srcWidth - j * destWidth), Math.min(srcHeight - i * destHeight, destHeight));  
                                
                              ImageProducer imgProducer = image.getSource();  
                                
                              Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(imgProducer, cropFilter));  
                                
                              BufferedImage tag = new BufferedImage(Math.min(destWidth, srcWidth - j * destWidth), Math.min(srcHeight - i * destHeight, destHeight), BufferedImage.TYPE_INT_RGB);  
                              Graphics g = tag.getGraphics();  
                                
                              g.drawImage(img, 0, 0, null); // 绘制小图  
                                
                              g.dispose();  
                              // 输出为文件  
                              String small_pic_name_path = descDir+"map_" + i + "_" + j + ".jpg";  
                              
                            ImageIO.write(tag, "JPEG", new File(small_pic_name_path));  
                            System.out.println("Thread"+Thread.currentThread().getId()+"\t切割第\t"+i+"_"+j+"\t张图片，耗时：\t"+(System.currentTimeMillis()-bg)+" 毫秒");  
                              
                        }  
                  }  
                   
                
                          
           }catch (Exception e) {  
            e.printStackTrace();  
          }  
}  
    
public static void perform(){  
      PictureCutter.cut("ss.jpg", "./ss/", 256, 256);  
      long begin = System.currentTimeMillis();  
       cut("1.jpg", "./s2/", 128, 128);  
       long mid = System.currentTimeMillis();  
       PictureCutter.cut("1.jpg", "./s1/", 128, 128);  
       long end = System.currentTimeMillis();  
       System.out.println(mid-begin);  
       System.out.println(end-mid);  
}