关于Java实现图片的叠加与拼接的文章网络上确实很多,碰巧小编开发工作中也遇到这些问题,就做了简要的梳理,作为笔记以备不时之需。
Java对图片的处理主要使用的是BufferedImage类。
BufferedImage 子类描述具有可访问图像数据缓冲区的 Image。BufferedImage 由图像数据的 ColorModel 和 Raster 组成。Raster 的 SampleModel 中 band 的数量和类型必须与 ColorModel 所要求的数量和类型相匹配,以表示其颜色和 alpha 分量。所有 BufferedImage 对象的左上角坐标都为 (0, 0)。因此,用来构造 BufferedImage 的任何 Raster 都必须满足:minX=0 且 minY=0。此类依靠 Raster 的数据获取方法、数据设置方法,以及 ColorModel 的颜色特征化方法。
以上主要来源于官方文档,我们来时直接写实践代码吧。
首先将文件转化为BufferedImage对象,这里给出两种读取文件并转化为BufferedImage对象的方法。
public static BufferedImage getBufferedImage(String fileUrl)
throws IOException {
File f = new File(fileUrl);
return ImageIO.read(f);
}
public static BufferedImage getBufferedImageDestUrl(String destUrl) {
HttpURLConnection conn = null;
BufferedImage image = null;
try {
URL url = new URL(destUrl);
conn = (HttpURLConnection) url.openConnection();
if (conn.getResponseCode() == 200) {
image = ImageIO.read(conn.getInputStream());
return image;
}
} catch (Exception e) {
e.printStackTrace();
} finally {
conn.disconnect();
}
return image;
}
接下来是将BufferedImage对象保存到本地,具体方法如下:
public static void generateSaveFile(BufferedImage buffImg, String savePath) {
int temp = savePath.lastIndexOf(".") + 1;
try {
File outFile = new File(savePath);
if(!outFile.exists()){
outFile.createNewFile();
}
ImageIO.write(buffImg, savePath.substring(temp), outFile);
System.out.println("ImageIO write...");
} catch (IOException e) {
e.printStackTrace();
}
}
以上作为准备部分,现在开始图片叠加的实现方法:
public static BufferedImage overlyingImage(BufferedImage buffImg, BufferedImage waterImg, int x, int y, float alpha) throws IOException {
// 创建Graphics2D对象,用在底图对象上绘图
Graphics2D g2d = buffImg.createGraphics();
int waterImgWidth = waterImg.getWidth();// 获取层图的宽度
int waterImgHeight = waterImg.getHeight();// 获取层图的高度
// 在图形和图像中实现混合和透明效果
g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_ATOP, alpha));
// 绘制
g2d.drawImage(waterImg, x, y, waterImgWidth, waterImgHeight, null);
g2d.dispose();// 释放图形上下文使用的系统资源
return buffImg;
}
图片拼接的实现方法:
public static BufferedImage mergeImage(BufferedImage img1,
BufferedImage img2, boolean isHorizontal) throws IOException {
int w1 = img1.getWidth();
int h1 = img1.getHeight();
int w2 = img2.getWidth();
int h2 = img2.getHeight();
// 从图片中读取RGB
int[] ImageArrayOne = new int[w1 * h1];
ImageArrayOne = img1.getRGB(0, 0, w1, h1, ImageArrayOne, 0, w1); // 逐行扫描图像中各个像素的RGB到数组中
int[] ImageArrayTwo = new int[w2 * h2];
ImageArrayTwo = img2.getRGB(0, 0, w2, h2, ImageArrayTwo, 0, w2);
// 生成新图片
BufferedImage DestImage = null;
if (isHorizontal) { // 水平方向合并
DestImage = new BufferedImage(w1+w2, h1, BufferedImage.TYPE_INT_RGB);
DestImage.setRGB(0, 0, w1, h1, ImageArrayOne, 0, w1); // 设置上半部分或左半部分的RGB
DestImage.setRGB(w1, 0, w2, h2, ImageArrayTwo, 0, w2);
} else { // 垂直方向合并
DestImage = new BufferedImage(w1, h1 + h2, BufferedImage.TYPE_INT_RGB);
DestImage.setRGB(0, 0, w1, h1, ImageArrayOne, 0, w1); // 设置上半部分或左半部分的RGB
DestImage.setRGB(0, h1, w2, h2, ImageArrayTwo, 0, w2); // 设置下半部分的RGB
}
return DestImage;
}
测试方法如下:
public static void overlyingImageTest() {
String sourceFilePath = "D://test//test1.jpg";
String waterFilePath = "D://test//test2.jpg";
String saveFilePath = "D://test//overlyingImageNew.jpg";
try {
BufferedImage bufferImage1 = getBufferedImage(sourceFilePath);
BufferedImage bufferImage2 = getBufferedImage(waterFilePath);
// 构建叠加层
BufferedImage buffImg = overlyingImage(bufferImage1, bufferImage2, 0, 0, 1.0f);
// 输出水印图片
generateSaveFile(buffImg, saveFilePath);
} catch (IOException e) {
e.printStackTrace();
}
}
public static void imageMargeTest() {
// 读取待合并的文件
BufferedImage bi1 = null;
BufferedImage bi2 = null;
// 调用mergeImage方法获得合并后的图像
BufferedImage destImg = null;
System.out.println("下面是垂直合并的情况:");
String saveFilePath = "D://test//new1.jpg";
String divingPath = "D://test//new2.jpg";
String margeImagePath = "D://test//margeNew.jpg";
try {
bi1 = getBufferedImage(saveFilePath);
bi2 = getBufferedImage(divingPath);
// 调用mergeImage方法获得合并后的图像
destImg = mergeImage(bi1, bi2, false);
} catch (IOException e) {
e.printStackTrace();
}
// 保存图像
generateSaveFile(destImg, margeImagePath);
System.out.println("垂直合并完毕!");
}
public static void main(String[] args) {
// 测试图片的叠加
overlyingImageTest();
// 测试图片的垂直合并
imageMargeTest();
}
整体代码如下:
package ImagePackage;
import java.awt.AlphaComposite;
import java.awt.Graphics2D;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import java.net.HttpURLConnection;
import java.net.URL;
import javax.imageio.ImageIO;
public class ImageMerge {
public static BufferedImage getBufferedImage(String fileUrl)
throws IOException {
File f = new File(fileUrl);
return ImageIO.read(f);
}
public static BufferedImage getBufferedImageDestUrl(String destUrl) {
HttpURLConnection conn = null;
BufferedImage image = null;
try {
URL url = new URL(destUrl);
conn = (HttpURLConnection) url.openConnection();
if (conn.getResponseCode() == 200) {
image = ImageIO.read(conn.getInputStream());
return image;
}
} catch (Exception e) {
e.printStackTrace();
} finally {
conn.disconnect();
}
return image;
}
public static void generateSaveFile(BufferedImage buffImg, String savePath) {
int temp = savePath.lastIndexOf(".") + 1;
try {
File outFile = new File(savePath);
if(!outFile.exists()){
outFile.createNewFile();
}
ImageIO.write(buffImg, savePath.substring(temp), outFile);
System.out.println("ImageIO write...");
} catch (IOException e) {
e.printStackTrace();
}
}
public static BufferedImage overlyingImage(BufferedImage buffImg, BufferedImage waterImg, int x, int y, float alpha) throws IOException {
// 创建Graphics2D对象,用在底图对象上绘图
Graphics2D g2d = buffImg.createGraphics();
int waterImgWidth = waterImg.getWidth();// 获取层图的宽度
int waterImgHeight = waterImg.getHeight();// 获取层图的高度
// 在图形和图像中实现混合和透明效果
g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_ATOP, alpha));
// 绘制
g2d.drawImage(waterImg, x, y, waterImgWidth, waterImgHeight, null);
g2d.dispose();// 释放图形上下文使用的系统资源
return buffImg;
}
public static BufferedImage mergeImage(BufferedImage img1,
BufferedImage img2, boolean isHorizontal) throws IOException {
int w1 = img1.getWidth();
int h1 = img1.getHeight();
int w2 = img2.getWidth();
int h2 = img2.getHeight();
// 从图片中读取RGB
int[] ImageArrayOne = new int[w1 * h1];
ImageArrayOne = img1.getRGB(0, 0, w1, h1, ImageArrayOne, 0, w1); // 逐行扫描图像中各个像素的RGB到数组中
int[] ImageArrayTwo = new int[w2 * h2];
ImageArrayTwo = img2.getRGB(0, 0, w2, h2, ImageArrayTwo, 0, w2);
// 生成新图片
BufferedImage DestImage = null;
if (isHorizontal) { // 水平方向合并
DestImage = new BufferedImage(w1+w2, h1, BufferedImage.TYPE_INT_RGB);
DestImage.setRGB(0, 0, w1, h1, ImageArrayOne, 0, w1); // 设置上半部分或左半部分的RGB
DestImage.setRGB(w1, 0, w2, h2, ImageArrayTwo, 0, w2);
} else { // 垂直方向合并
DestImage = new BufferedImage(w1, h1 + h2, BufferedImage.TYPE_INT_RGB);
DestImage.setRGB(0, 0, w1, h1, ImageArrayOne, 0, w1); // 设置上半部分或左半部分的RGB
DestImage.setRGB(0, h1, w2, h2, ImageArrayTwo, 0, w2); // 设置下半部分的RGB
}
return DestImage;
}
public static void overlyingImageTest() {
String sourceFilePath = "D://test//test1.jpg";
String waterFilePath = "D://test//test2.jpg";
String saveFilePath = "D://test//overlyingImageNew.jpg";
try {
BufferedImage bufferImage1 = getBufferedImage(sourceFilePath);
BufferedImage bufferImage2 = getBufferedImage(waterFilePath);
// 构建叠加层
BufferedImage buffImg = overlyingImage(bufferImage1, bufferImage2, 0, 0, 1.0f);
// 输出水印图片
generateSaveFile(buffImg, saveFilePath);
} catch (IOException e) {
e.printStackTrace();
}
}
public static void imageMargeTest() {
// 读取待合并的文件
BufferedImage bi1 = null;
BufferedImage bi2 = null;
// 调用mergeImage方法获得合并后的图像
BufferedImage destImg = null;
System.out.println("下面是垂直合并的情况:");
String saveFilePath = "D://test//new1.jpg";
String divingPath = "D://test//new2.jpg";
String margeImagePath = "D://test//margeNew.jpg";
try {
bi1 = getBufferedImage(saveFilePath);
bi2 = getBufferedImage(divingPath);
// 调用mergeImage方法获得合并后的图像
destImg = mergeImage(bi1, bi2, false);
} catch (IOException e) {
e.printStackTrace();
}
// 保存图像
generateSaveFile(destImg, margeImagePath);
System.out.println("垂直合并完毕!");
}
public static void main(String[] args) {
// 测试图片的叠加
overlyingImageTest();
// 测试图片的垂直合并
imageMargeTest();
}
}
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持考高分网。



