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Java实现的微信图片处理工具类【裁剪,合并,等比例缩放等】

2024-07-13 10:13:35
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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,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);   }  }}

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