java图片大小处理（缩放&切割&类型转换&色彩转换）

import java.io.*;
import java.awt.*;
import java.awt.image.*;
import java.awt.Graphics;
import java.awt.color.ColorSpace;
import javax.imageio.ImageIO;
public class ChangeImageSize
...{
/** *//**
* 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, String descDir, int destWidth, int destHeight)
...{
try
...{
Image img;
ImageFilter cropFilter;
// 读取源图像
BufferedImage bi = ImageIO.read(new File(srcImageFile));
int srcWidth = bi.getHeight(); // 源图宽度
int srcHeight = bi.getWidth(); // 源图高度
if (srcWidth > destWidth && srcHeight > destHeight)
...{
Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
destWidth = 200; // 切片宽度
destHeight = 150; // 切片高度
int cols = 0; // 切片横向数量
int rows = 0; // 切片纵向数量
// 计算切片的横向和纵向数量
if (srcWidth % destWidth == 0)
...{
cols = srcWidth / destWidth;
}
else
...{
cols = (int) Math.floor(srcWidth / destWidth) + 1;
}
if (srcHeight % destHeight == 0)
...{
rows = srcHeight / destHeight;
}
else
...{
rows = (int) Math.floor(srcHeight / destHeight) + 1;
}
// 循环建立切片
// 改进的想法:是否可用多线程加快切割速度
for (int i = 0; i < rows; i++)
...{
for (int j = 0; j < cols; j++)
...{
// 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)
cropFilter = new CropImageFilter(j * 200, i * 150, destWidth, destHeight);
img = Toolkit.getDefaultToolkit(), .createImage(
new FilteredImageSource(image.getSource(), cropFilter));
BufferedImage tag = new BufferedImage(destWidth, destHeight, BufferedImage.TYPE_INT_RGB);
Graphics g = tag.getGraphics();
g.drawImage(img, 0, 0, null); // 绘制缩小后的图
g.dispose();
// 输出为文件
ImageIO.write(tag, "JPEG", new File(descDir + "pre_map_" + i + "_" + j + ".jpg"));
}
}
}
}
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
*/
public static void main(String[] args)
...{
scale("D:/100CASIO/CIMG0001.JPG","C:/Documents and Settings/ibm/桌面/image.jpg",10,false);
}
}
文章出处：http://www.diybl.com/course/3_program/java/javashl/20071126/87694.html