如何使用 Java OpenCV 库给图片添加噪声?
使用 OpenCV 给定图像添加噪声 -
将给定图像的内容读入 Mat 对象。
再创建两个空矩阵来存储噪声和结果矩阵。
创建两个 MatOfDouble 矩阵来存储平均值和标准差。
使用 meanStdDev() 方法获取平均值和标准差。
使用 randn() 方法创建一个包含随机元素的矩阵(用于存储噪声)。
将上述创建的 source、mean 和 standard deviation 对象作为参数传递给该方法。
最后,将 noise 矩阵和 source 矩阵相加,并保存为 destination。
示例
import java.awt.Image; import java.awt.image.BufferedImage; import java.io.IOException; import javafx.application.Application; import javafx.embed.swing.SwingFXUtils; import javafx.scene.Group; import javafx.scene.Scene; import javafx.scene.image.ImageView; import javafx.scene.image.WritableImage; import javafx.stage.Stage; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.MatOfDouble; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; public class AddingNoise extends Application { public void start(Stage stage) throws IOException { //Loading the OpenCV core library System.loadLibrary(Core.NATIVE_LIBRARY_NAME); //Reading the Image from the file String file ="D://images//elephant.jpg"; Mat src = Imgcodecs.imread(file); System.out.println("Image Loaded"); //Creating destination matrix Mat dst = new Mat(src.rows(), src.cols(), src.type()); //Creating a matrix for the noise Mat noise = new Mat(src.rows(), src.cols(), src.type()); //Calculating the mean and standard deviation MatOfDouble mean = new MatOfDouble(); MatOfDouble dev = new MatOfDouble(); Core.meanStdDev(src, mean, dev); //Filling the noise matrix Core.randn(noise, mean.get(0,0)[0], dev.get(0,0)[0]); //Adding noise to the destination Core.add(src, noise, dst); //Converting matrix to JavaFX writable image Image img = HighGui.toBufferedImage(dst); WritableImage writableImage= SwingFXUtils.toFXImage((BufferedImage) img, null); //Setting the image view ImageView imageView = new ImageView(writableImage); imageView.setX(10); imageView.setY(10); imageView.setFitWidth(575); imageView.setPreserveRatio(true); //Setting the Scene object Group root = new Group(imageView); Scene scene = new Scene(root, 595, 400); stage.setTitle("Adding Noise Example"); stage.setScene(scene); stage.show(); } public static void main(String args[]) { launch(args); } }
输入图像
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输出
执行完上述程序后,将生成以下结果 -
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