java图片处理，裁剪，合图，等比例缩放

现在 外面核心，图片文章比较少，看了拷贝代码，而用不了，用相应jar包处理，很多等比例缩放，

达不到 想要的给予的期望:本工具类，是之前做微信打印机写的 基于java自带的类，基于rgb。

package com.zjpz.util;

import java.awt.Color;
import java.awt.Graphics;
import java.awt.Graphics2D;
import java.awt.RenderingHints;
import java.awt.geom.AffineTransform;
import java.awt.image.BufferedImage;
import java.awt.image.ColorModel;
import java.awt.image.WritableRaster;
import java.io.File;
import java.io.IOException;

import javax.imageio.ImageIO;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * 微信图片处理工具
 * 
 * @author zhuang.y
 * 
 */
public class PictureTool {

   protected static Logger logger = LoggerFactory.getLogger(PictureTool.class);

   public static void main(String[] args) throws IOException {

      File fileOne = new File("c:\\1.jpg");
      BufferedImage imageFirst = ImageIO.read(fileOne);

      int border = 0;

      imageFirst =crop(imageFirst,0,10,297,300);
      File outFile = new File("d:\\2.jpg");
      ImageIO.write(imageFirst, "jpg", outFile);// 写图片



      
   }

   /**
    * 纵向合图的x坐标像素
    */
   private final static int y_width = 645;

   /**
    * 标准图片的y坐标像素,920，是一般照片，1099是邮票照片
    */
   private final static int y_height = 920;

   /**
    * 裁剪x坐标缩进像素
    */
   private final static int x_retract = 50;

   /**
    * 裁剪y坐标缩进像素
    */
   private final static int y_retract = 50;

   /**
    * 系统默认图片边框为20
    */
   public final static int BORDER = 20;

   /**
    * 横向合成图片
    */
   public static void xPic(String first, String second, String out) {
      try {
         /* 1 读取第一张图片 */
         File fileOne = new File(first);
         BufferedImage imageFirst = ImageIO.read(fileOne);
         int width = imageFirst.getWidth();// 图片宽度
         int height = imageFirst.getHeight();// 图片高度
         int[] imageArrayFirst = new int[width * height];// 从图片中读取RGB
         imageArrayFirst = imageFirst.getRGB(0, 0, width, height, imageArrayFirst, 0, width);

         /* 1 对第二张图片做相同的处理 */
         File fileTwo = new File(second);
         BufferedImage imageSecond = ImageIO.read(fileTwo);
         int widthTwo = imageSecond.getWidth();// 图片宽度
         int heightTwo = imageSecond.getHeight();// 图片高度
         int[] imageArraySecond = new int[widthTwo * heightTwo];
         imageArraySecond = imageSecond.getRGB(0, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);

         int h = height;
         if (height < heightTwo) {
            h = heightTwo;
         }

         // 生成新图片
         BufferedImage imageResult = new BufferedImage(width + widthTwo, h, BufferedImage.TYPE_INT_RGB);
         imageResult.setRGB(0, 0, width, height, imageArrayFirst, 0, width);// 设置左半部分的RGB
         imageResult.setRGB(width, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 设置右半部分的RGB
         File outFile = new File(out);
         ImageIO.write(imageResult, "jpg", outFile);// 写图片
      } catch (Exception e) {
         logger.error("横向合成图片出错....", e);
      }
   }

   /**
    * 纵向合成图片
    * 
    * @param first
    *            放上面的图片路径
    * @param second
    *            放下面的图片路径
    * @param out
    *            文件输出目录
    * @param border
    *            图片预留边框
    */
   public static boolean yPic(String first, String second, String out, int border) {
      boolean isOk = true;
      try {
         /* 1 读取第一张图片 */

         File fileOne = new File(first);
         BufferedImage imageFirst = ImageIO.read(fileOne);
         int width = imageFirst.getWidth();// 图片宽度
         int height = imageFirst.getHeight();// 图片高度

         /* 2对第二张图片做相同的处理 */

         File fileTwo = new File(second);
         
         BufferedImage imageSecond = ImageIO.read(fileTwo);
         int widthTwo = imageSecond.getWidth();// 图片宽度
         int heightTwo = imageSecond.getHeight();// 图片高度
         /* 1 读取第一张图片begin */
         int t_height = y_height - heightTwo;
         // 图片是横图，逆时针旋转90度再等比缩放
         if (width > height) {
            imageFirst = rotateImageLeft90(imageFirst);
         }

         // 等比缩放
         imageFirst = resize(imageFirst, y_width, t_height);

         // 缩放后图片的大小
         width = imageFirst.getWidth();// 图片宽度
         height = imageFirst.getHeight();// 图片高度
         // 等比缩放后，图片还是太大，裁剪图片
         boolean a_w, a_h = false;
         if ((a_w = (width > y_width)) || (a_h = (height > t_height))) {
            // 起始位置x,y坐标
            int s_w = 0, s_h = 0;
            // 裁剪x坐标时，缩进属性x_retract
            if (a_w) {
               int temp = width - y_width;
               if (temp > x_retract) {
                  temp = x_retract;
               } else {
                  temp = 0;
               }
               s_w = s_w + temp;
            }
            // 裁剪y坐标时，缩进属性y_retract
            if (a_h) {
               int temp = height - t_height;
               if (temp > y_retract) {
                  temp = y_retract;
               } else {
                  temp = 0;
               }
               s_h = s_h + temp;
            }
            imageFirst = crop(imageFirst, s_w, s_h, y_width, t_height);
            width = imageFirst.getWidth();
            height = imageFirst.getHeight();
         }

         int[] imageArrayFirst = new int[(width - border) * height];// 从图片中读取RGB
         imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0,
               (width - border));

         /* 2对第二张图片做相同的处理begin */
         int[] imageArraySecond = new int[widthTwo * heightTwo];
         imageArraySecond = imageSecond.getRGB(0, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);

         int w = width;
         if (width < widthTwo) {
            w = widthTwo;
         }
         // 图片高度
         int h = height + heightTwo;
         // 生成新图片
         BufferedImage imageResult = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB);

         // 解决黑色背景,默认的TYPE_INT_RGB都是0，都是黑色的
         Graphics2D g = (Graphics2D) imageResult.createGraphics();
         g.setColor(Color.WHITE);
         g.fillRect(0, 0, w, h);// 填充整个屏幕
         g.dispose();

         // 留边框
         imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 设置左半部分的RGB
         imageResult.setRGB(0, height, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 设置右半部分的RGB

         File outFile = new File(out);
         ImageIO.write(imageResult, "jpg", outFile);// 写图片
      } catch (Exception e) {
         logger.error("纵向合成图片失败....", e);
         isOk = false;
      }
      return isOk;
   }

   /**
    * 全图打印，图片缩放、旋转处理
    * 
    * @param source
    *            待处理的图片
    * @param out
    *            处理后文件输出目录
    * @param border
    *            图片预留边框
    */
   public static boolean maigaoPic(String source, String out, int border) {
      boolean isOk = true;
      try {
         /* 1 读取第一张图片 */

         File fileOne = new File(source);
         BufferedImage imageFirst = ImageIO.read(fileOne);
         int width = imageFirst.getWidth();// 图片宽度
         int height = imageFirst.getHeight();// 图片高度

         // 图片是横图，逆时针旋转90度再等比缩放
         if (width > height) {
            imageFirst = rotateImageLeft90(imageFirst);
         }

         // 等比缩放
         imageFirst = resize(imageFirst, y_width, y_height);

         // 缩放后图片的大小
         width = imageFirst.getWidth();// 图片宽度
         height = imageFirst.getHeight();// 图片高度
         // 等比缩放后，图片还是太大，裁剪图片
         boolean a_w, a_h = false;
         if ((a_w = (width > y_width)) || (a_h = (height > y_height))) {
            // 起始位置x,y坐标
            int s_w = 0, s_h = 0;
            // 裁剪x坐标时，缩进属性x_retract
            if (a_w) {
               int temp = width - y_width;
               if (temp > x_retract) {
                  temp = x_retract;
               } else {
                  temp = 0;
               }
               s_w = s_w + temp;
            }
            // 裁剪y坐标时，缩进属性y_retract
            if (a_h) {
               int temp = height - y_height;
               if (temp > y_retract) {
                  temp = y_retract;
               } else {
                  temp = 0;
               }
               s_h = s_h + temp;
            }
            imageFirst = crop(imageFirst, s_w, s_h, y_width, y_height);
            width = imageFirst.getWidth();
            height = imageFirst.getHeight();
         }

         int[] imageArrayFirst = new int[(width - border) * height];// 从图片中读取RGB
         imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0,
               (width - border));

         // 生成新图片
         BufferedImage imageResult = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);

         // 解决黑色背景,默认的TYPE_INT_RGB都是0，都是黑色的
         Graphics2D g = (Graphics2D) imageResult.createGraphics();
         g.setColor(Color.WHITE);
         g.fillRect(0, 0, width, height);// 填充整个屏幕
         g.dispose();

         // 留边框
         imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 设置左半部分的RGB

         File outFile = new File(out);
         ImageIO.write(imageResult, "jpg", outFile);// 写图片
      } catch (IOException e) {
         logger.error("全图打印，图片缩放、旋转处理失败....", e);
         isOk = false;
      }
      return isOk;
   }

   /**
    * 实现图像的等比缩放
    * 
    * @param source
    *            待处理的图片流
    * @param targetW
    *            宽度
    * @param targetH
    *            高度
    * @return
    */
   public static BufferedImage resize(BufferedImage source, int targetW, int targetH) {
      int width = source.getWidth();// 图片宽度
      int height = source.getHeight();// 图片高度
      return zoomInImage(source, targetW, targetH);
      // 图片宽高都太小时，强制放大图片
      /*
      if (width < targetW && height < targetH) {
         return zoomInImage(source, targetW, targetH);
      } else if ((width < targetW && width == height) || (height < targetH && width == height)) {
         return zoomInImage(source, targetW, targetH);
      }
      return null;
      */

   }

   /**
    * 按比例裁剪图片
    * 
    * @param source
    *            待处理的图片流
    * @param startX
    *            开始x坐标
    * @param startY
    *            开始y坐标
    * @param endX
    *            结束x坐标
    * @param endY
    *            结束y坐标
    * @return
    */
   public static BufferedImage crop(BufferedImage source, int startX, int startY, int endX, int endY) {
      int width = source.getWidth();
      int height = source.getHeight();

      if (startX <= -1) {
         startX = 0;
      }
      if (startY <= -1) {
         startY = 0;
      }
      if (endX <= -1) {
         endX = width - 1;
      }
      if (endY <= -1) {
         endY = height - 1;
      }
      BufferedImage result = new BufferedImage(endX, endY , source.getType());
      for (int y = startY; y < endY+startY; y++) {
         for (int x = startX; x < endX+startX; x++) {
            int rgb = source.getRGB(x, y);
            result.setRGB(x - startX, y - startY, rgb);
         }
      }
      return result;
   }

   /**
    * 旋转图片为指定角度
    * 
    * @param bufferedimage
    *            目标图像
    * @param degree
    *            旋转角度
    * @return
    */
   public static BufferedImage rotateImage(final BufferedImage bufferedimage, final int degree) {
      int w = bufferedimage.getWidth();
      int h = bufferedimage.getHeight();
      int type = bufferedimage.getColorModel().getTransparency();
      BufferedImage img;
      Graphics2D graphics2d;
      (graphics2d = (img = new BufferedImage(h, w, type)).createGraphics()).setRenderingHint(
            RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
      graphics2d.rotate(Math.toRadians(degree), w / 2, h / 2 + (w > h ? (w - h) / 2 : (h - w) / 2));
      graphics2d.drawImage(bufferedimage, 0, 0, null);
      graphics2d.dispose();
      return img;
   }

   /**
    * 图片左转90度
    * 
    * @param bufferedimage
    * @return
    */
   public static BufferedImage rotateImageLeft90(BufferedImage bufferedimage) {
      int w = bufferedimage.getWidth();
      int h = bufferedimage.getHeight();
      int type = bufferedimage.getColorModel().getTransparency();
      BufferedImage img;
      Graphics2D graphics2d;
      (graphics2d = (img = new BufferedImage(h, w, type)).createGraphics()).setRenderingHint(
            RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
      graphics2d.rotate(Math.toRadians(270), w / 2, h / 2 + (w - h) / 2);
      graphics2d.drawImage(bufferedimage, 0, 0, null);
      graphics2d.dispose();
      return img;
   }

   /**
    * 图片右转90度
    * 
    * @param bufferedimage
    * @return
    */
   public static BufferedImage rotateImageRight90(BufferedImage bufferedimage) {
      int w = bufferedimage.getWidth();
      int h = bufferedimage.getHeight();
      int type = bufferedimage.getColorModel().getTransparency();
      BufferedImage img;
      Graphics2D graphics2d;
      (graphics2d = (img = new BufferedImage(h, w, type)).createGraphics()).setRenderingHint(
            RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
      graphics2d.rotate(Math.toRadians(90), w / 2 - (w - h) / 2, h / 2);
      graphics2d.drawImage(bufferedimage, 0, 0, null);
      graphics2d.dispose();
      return img;
   }

   // 对转
   public File rotateImageOppo(File file) throws Exception {
      BufferedImage bufferedimage = ImageIO.read(file);
      int w = bufferedimage.getWidth();
      int h = bufferedimage.getHeight();
      int type = bufferedimage.getColorModel().getTransparency();
      BufferedImage img;
      Graphics2D graphics2d;
      (graphics2d = (img = new BufferedImage(w, h, type)).createGraphics()).setRenderingHint(
            RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
      graphics2d.rotate(Math.toRadians(180), w / 2, h / 2);
      graphics2d.drawImage(bufferedimage, 0, 0, null);
      graphics2d.dispose();
      ImageIO.write(img, "jpg", file);
      return file;
   }

   /***
    * 图片镜像处理
    * 
    * @param file
    * @param FX
    *            0 为上下反转 1 为左右反转
    * @return
    */
   public void imageMisro(File file, int FX) {
      try {
         BufferedImage bufferedimage = ImageIO.read(file);
         int w = bufferedimage.getWidth();
         int h = bufferedimage.getHeight();
         int[][] datas = new int[w][h];
         for (int i = 0; i < h; i++) {
            for (int j = 0; j < w; j++) {
               datas[j][i] = bufferedimage.getRGB(j, i);
            }
         }
         int[][] tmps = new int[w][h];
         if (FX == 0) {
            for (int i = 0, a = h - 1; i < h; i++, a--) {
               for (int j = 0; j < w; j++) {
                  tmps[j][a] = datas[j][i];
               }
            }
         } else if (FX == 1) {
            for (int i = 0; i < h; i++) {
               for (int j = 0, b = w - 1; j < w; j++, b--) {
                  tmps[b][i] = datas[j][i];
               }
            }
         }
         for (int i = 0; i < h; i++) {
            for (int j = 0; j < w; j++) {
               bufferedimage.setRGB(j, i, tmps[j][i]);
            }
         }
         ImageIO.write(bufferedimage, "jpg", file);
      } catch (Exception e) {
         e.printStackTrace();
      }
   }

   /**
    * 对图片进行强制放大或缩小
    * 
    * @param originalImage
    *            原始图片
    * @return
    */
   public static BufferedImage zoomInImage(BufferedImage originalImage, int width, int height) {
      BufferedImage newImage = new BufferedImage(width, height, originalImage.getType());

      Graphics g = newImage.getGraphics();
      g.drawImage(originalImage, 0, 0, width, height, null);
      g.dispose();
      return newImage;
   }

   /**
    * 简易图片识别原理
    * 
    * @param img
    *            图片路径
    */
   public static void discernImg(String img) {
      try {
         File fileOne = new File(img);
         BufferedImage bi = ImageIO.read(fileOne);
         // 获取图像的宽度和高度
         int width = bi.getWidth();
         int height = bi.getHeight();

         // 扫描图片
         for (int i = 0; i < height; i++) {
            for (int j = 0; j < width; j++) {// 行扫描
               int dip = bi.getRGB(j, i);
               if (dip == -1)
                  System.out.print(" ");
               else
                  System.out.print("♦");
            }
            System.out.println();// 换行
         }
      } catch (Exception e) {
         logger.error("图片识别出错", e);
      }
   }

}