Java實現的微信圖片處理工具類【裁剪，合併，等比例縮放等】

本文實例講述了Java實現的微信圖片處理工具類。分享給大家供大家參考，具體如下：

現在外面核心，圖片文章比較少，看了拷貝代碼，而用不了，用相應jar包處理，很多等比例縮放，達不到想要的給予的期望:本工具類，是之前做微信打印機寫的基於java自帶的類，基於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;/** * 微信圖片處理工具* * @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);// 寫圖片} /** * 縱向合圖的x坐標像素*/ private final static int y_width = 645; /** * 標準圖片的y坐標像素,920，是一般照片，1099是郵票照片*/ private final static int y_height = 920; /** * 裁剪x坐標縮進像素*/ private final static int x_retract = 50; /** * 裁剪y坐標縮進像素*/ private final static int y_retract = 50; /** * 系統默認圖片邊框為20 */ public final static int BORDER = 20; /** * 橫向合成圖片*/ public static void xPic(String first, String second, String out) { try { /* 1 讀取第一張圖片*/ File fileOne = new File(first); BufferedImage imageFirst = ImageIO.read(fileOne); int width = imageFirst.getWidth();// 圖片寬度int height = imageFirst.getHeight();// 圖片高度int[] imageArrayFirst = new int[width * height];// 從圖片中讀取RGB imageArrayFirst = imageFirst.getRGB(0, 0, width, height, imageArrayFirst, 0, width); /* 1 對第二張圖片做相同的處理*/ File fileTwo = new File(second); BufferedImage imageSecond = ImageIO.read(fileTwo); int widthTwo = imageSecond.getWidth();// 圖片寬度int heightTwo = imageSecond.getHeight();// 圖片高度int[] imageArraySecond = new int[widthTwo * heightTwo]; imageArraySecond = imageSecond.getRGB(0, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo); int h = height; if (height < heightTwo) { h = heightTwo; } // 生成新圖片BufferedImage imageResult = new BufferedImage(width + widthTwo, h, BufferedImage.TYPE_INT_RGB); imageResult.setRGB(0, 0, width, height, imageArrayFirst, 0, width);// 設置左半部分的RGB imageResult.setRGB(width, 0, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 設置右半部分的RGB File outFile = new File(out); ImageIO.write(imageResult, "jpg", outFile);// 寫圖片} catch (Exception e) { logger.error("橫向合成圖片出錯....", e); } } /** * 縱向合成圖片* * @param first * 放上面的圖片路徑* @param second * 放下面的圖片路徑* @param out * 文件輸出目錄* @param border * 圖片預留邊框*/ public static boolean yPic(String first, String second, String out, int border) { boolean isOk = true; try { /* 1 讀取第一張圖片*/ File fileOne = new File(first); BufferedImage imageFirst = ImageIO.read(fileOne); int width = imageFirst.getWidth();// 圖片寬度int height = imageFirst.getHeight();// 圖片高度/* 2對第二張圖片做相同的處理*/ File fileTwo = new File(second); BufferedImage imageSecond = ImageIO.read(fileTwo); int widthTwo = imageSecond.getWidth();// 圖片寬度int heightTwo = imageSecond.getHeight();// 圖片高度/* 1 讀取第一張圖片begin */ int t_height = y_height - heightTwo; // 圖片是橫圖，逆時針旋轉90度再等比縮放if (width > height) { imageFirst = rotateImageLeft90(imageFirst); } // 等比縮放imageFirst = resize(imageFirst, y_width, t_height); // 縮放後圖片的大小width = imageFirst.getWidth();// 圖片寬度height = imageFirst.getHeight();// 圖片高度// 等比縮放後，圖片還是太大，裁剪圖片boolean a_w, a_h = false; if ((a_w = (width > y_width)) || (a_h = (height > t_height))) { // 起始位置x,y坐標int s_w = 0, s_h = 0; // 裁剪x坐標時，縮進屬性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坐標時，縮進屬性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];// 從圖片中讀取RGB imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0, (width - border)); /* 2對第二張圖片做相同的處理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; } // 圖片高度int h = height + heightTwo; // 生成新圖片BufferedImage imageResult = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB); // 解決黑色背景,默認的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);// 填充整個屏幕g.dispose(); // 留邊框imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 設置左半部分的RGB imageResult.setRGB(0, height, widthTwo, heightTwo, imageArraySecond, 0, widthTwo);// 設置右半部分的RGB File outFile = new File(out); ImageIO.write(imageResult, "jpg", outFile);// 寫圖片} catch (Exception e) { logger.error("縱向合成圖片失敗....", e); isOk = false; } return isOk; } /** * 全圖打印，圖片縮放、旋轉處理* * @param source * 待處理的圖片* @param out * 處理後文件輸出目錄* @param border * 圖片預留邊框*/ public static boolean maigaoPic(String source, String out, int border) { boolean isOk = true; try { /* 1 讀取第一張圖片*/ File fileOne = new File(source); BufferedImage imageFirst = ImageIO.read(fileOne); int width = imageFirst.getWidth();// 圖片寬度int height = imageFirst.getHeight();// 圖片高度// 圖片是橫圖，逆時針旋轉90度再等比縮放if (width > height) { imageFirst = rotateImageLeft90(imageFirst); } // 等比縮放imageFirst = resize(imageFirst, y_width, y_height); // 縮放後圖片的大小width = imageFirst.getWidth();// 圖片寬度height = imageFirst.getHeight();// 圖片高度// 等比縮放後，圖片還是太大，裁剪圖片boolean a_w, a_h = false; if ((a_w = (width > y_width)) || (a_h = (height > y_height))) { // 起始位置x,y坐標int s_w = 0, s_h = 0; // 裁剪x坐標時，縮進屬性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坐標時，縮進屬性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];// 從圖片中讀取RGB imageArrayFirst = imageFirst.getRGB(border, 0, (width - border), height, imageArrayFirst, 0, (width - border)); // 生成新圖片BufferedImage imageResult = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB); // 解決黑色背景,默認的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);// 填充整個屏幕g.dispose(); // 留邊框imageResult.setRGB(border, 0, (width - border * 2), height, imageArrayFirst, 0, (width - border));// 設置左半部分的RGB File outFile = new File(out); ImageIO.write(imageResult, "jpg", outFile);// 寫圖片} catch (IOException e) { logger.error("全圖打印，圖片縮放、旋轉處理失敗....", e); isOk = false; } return isOk; } /** * 實現圖像的等比縮放* * @param source * 待處理的圖片流* @param targetW * 寬度* @param targetH * 高度* @return */ public static BufferedImage resize(BufferedImage source, int targetW, int targetH) { int width = source.getWidth();// 圖片寬度int height = source.getHeight();// 圖片高度return zoomInImage(source, targetW, targetH); // 圖片寬高都太小時，強制放大圖片/* 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; */ } /** * 按比例裁剪圖片* * @param source * 待處理的圖片流* @param startX * 開始x坐標* @param startY * 開始y坐標* @param endX * 結束x坐標* @param endY * 結束y坐標* @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; } /** * 旋轉圖片為指定角度* * @param bufferedimage * 目標圖像* @param degree * 旋轉角度* @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; } /** * 圖片左轉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; } /** * 圖片右轉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; } // 對轉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; } /*** * 圖片鏡像處理* * @param file * @param FX * 0 為上下反轉1 為左右反轉* @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(); } } /** * 對圖片進行強制放大或縮小* * @param originalImage * 原始圖片* @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; } /** * 簡易圖片識別原理* * @param img * 圖片路徑*/ public static void discernImg(String img) { try { File fileOne = new File(img); BufferedImage bi = ImageIO.read(fileOne); // 獲取圖像的寬度和高度int width = bi.getWidth(); int height = bi.getHeight(); // 掃描圖片for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) {// 行掃描int dip = bi.getRGB(j, i); if (dip == -1) System.out.print(" "); else System.out.print("♦"); } System.out.println();// 換行} } catch (Exception e) { logger.error("圖片識別出錯", e); } }}

更多java相關內容感興趣的讀者可查看本站專題：《Java圖片操作技巧匯總》、《java日期與時間操作技巧匯總》、《Java操作DOM節點技巧總結》、《Java文件與目錄操作技巧匯總》及《Java數據結構與算法教程》。

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