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);   
}