Java实现的微信图片处理工具类【裁剪，合并，等比例缩放等】

本文实例讲述了Java实现的微信图片处理工具类。分享给大家供大家参考，具体如下：

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,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,width,height,imageArrayFirst,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,widthTwo,heightTwo,imageArraySecond,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,width);// 设置左半部分的RGB
     imageResult.setRGB(width,widthTwo);// 设置右半部分的RGB
     File outFile = new File(out);
     ImageIO.write(imageResult,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 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,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,(width - border),(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,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,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,w,h);// 填充整个屏幕
     g.dispose();
     // 留边框
     imageResult.setRGB(border,(width - border * 2),(width - border));// 设置左半部分的RGB
     imageResult.setRGB(0,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,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_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,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,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,(width - border));
     // 生成新图片
     BufferedImage imageResult = new BufferedImage(width,height);// 填充整个屏幕
     g.dispose();
     // 留边框
     imageResult.setRGB(border,(width - border));// 设置左半部分的RGB
     File outFile = new File(out);
     ImageIO.write(imageResult,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,targetH);
   } else if ((width < targetW && width == height) || (height < targetH && width == height)) {
     return zoomInImage(source,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,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,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,RenderingHints.VALUE_INTERPOLATION_BILINEAR);
   graphics2d.rotate(Math.toRadians(270),h / 2 + (w - h) / 2);
   graphics2d.drawImage(bufferedimage,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,RenderingHints.VALUE_INTERPOLATION_BILINEAR);
   graphics2d.rotate(Math.toRadians(90),w / 2 - (w - h) / 2,h / 2);
   graphics2d.drawImage(bufferedimage,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,RenderingHints.VALUE_INTERPOLATION_BILINEAR);
   graphics2d.rotate(Math.toRadians(180),null);
   graphics2d.dispose();
   ImageIO.write(img,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,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,originalImage.getType());
   Graphics g = newImage.getGraphics();
   g.drawImage(originalImage,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);
   }
  }
}

更多java相关内容感兴趣的读者可查看本站专题：《Java图片操作技巧汇总》、《java日期与时间操作技巧汇总》、《Java操作DOM节点技巧总结》、《Java文件与目录操作技巧汇总》及《Java数据结构与算法教程》。

希望本文所述对大家java程序设计有所帮助。

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