Java程序对图片的各种处理

package 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);
  }
 
}


	
	
	

 

评论

1 楼 hpyhgz 2011-01-13  

写的不错啊，但是用ImageIO读图片，会有一部分色彩丢失的，一张图片，用经过处理后怎么让它包含的色彩和以前一样保持不变了