OpenCV JavaFX 应用程序用于改变图像的清晰度
javaobject oriented programmingprogramming
锐化图像与模糊相反。要使用 OpenCV 库改变图像的清晰度，您需要使用高斯滤波器对其进行平滑/模糊处理，并从原始图像中减去平滑后的版本。
示例
以下是一个 JavaFX 程序，其中有两个滑块代表 alpha 值和 beta 值。
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStream;
import javafx.application.Application;
import javafx.beans.value.ChangeListener;
import javafx.beans.value.ObservableValue;
import javafx.embed.swing.SwingFXUtils;
import javafx.geometry.Insets;
import javafx.scene.Scene;
import javafx.scene.control.Label;
import javafx.scene.control.Slider;
import javafx.scene.image.ImageView;
import javafx.scene.image.WritableImage;
import javafx.scene.layout.VBox;
import javafx.stage.Stage;
import javax.imageio.ImageIO;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
public class SharpnessJavaFX extends Application {
double contrast = 1;
private final int rtype = -1;
double alpha = 1;
double beta = 0;
Slider slider1;
Slider slider2;
Mat src = null;
public void start(Stage stage) throws IOException {
//加载OpenCV核心库
System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
String file ="D:\Image\lamma2.jpg";
src = Imgcodecs.imread(file);
WritableImage writableImage = loadImage(src);
//设置图像视图
ImageView imageView = new ImageView(writableImage);
imageView.setX(50);
imageView.setY(25);
imageView.setFitHeight(400);
imageView.setFitWidth(550);
imageView.setPreserveRatio(true);
Label label1 = new Label("Alpha value");
//设置滑块
slider1 = new Slider(0.1, 3, 1);
slider1.setShowTickLabels(true);
slider1.setShowTickMarks(true);
slider1.setMajorTickUnit(1);
slider1.setBlockIncrement(0.05);
//设置标签
Label label2 = new Label();
Label label3 = new Label("Beta value");
//设置滑块
slider2 = new Slider(-2, 2, 0);
slider2.setShowTickLabels(true);
slider2.setShowTickMarks(true);
slider2.setMajorTickUnit(1);
slider2.setBlockIncrement(.5);
//设置标签
Label label4 = new Label();
//滑块的监听器
slider1.valueProperty().addListener(new ChangeListener<Number>() {
public voidchanged(ObservableValue<?extends Number>observable, Number oldValue, Number newValue){
try {
label2.setText("α-value: " + newValue);
alpha = newValue.doubleValue();
Mat dest = new Mat(src.rows(), src.cols(), src.type());
Imgproc.GaussianBlur(src, dest, new Size(0,0), 10);
Core.addWeighted(src, alpha, dest, beta, 0, dest);
imageView.setImage(loadImage(dest));
}
catch(Exception e) {
System.out.println("");
}
});
slider2.valueProperty().addListener(new ChangeListener<Number>() {
public voidchanged(ObservableValue<?extends Number>observable, Number oldValue, Number newValue){
try {
label4.setText("β-value: " + newValue);
beta = newValue.doubleValue();
Mat dest = new Mat(src.rows(), src.cols(), src.type());
Imgproc.GaussianBlur(src, dest, new Size(0,0), 10);
Core.addWeighted(src, alpha, dest, beta, 0, dest);
imageView.setImage(loadImage(dest));
}
catch(Exception e) {
System.out.println("");
}
});
//VBox 排列所有三个组件
VBox vbox = new VBox();
vbox.setPadding(new Insets(20));
vbox.setSpacing(10);
vbox.getChildren().addAll(label1, slider1, label2, imageView, label3, slider2, label4);
//创建场景对象
Scene scene = new Scene(vbox, 600, 560);
stage.setTitle("Altering the sharpness");
stage.setScene(scene);
stage.show();
}
public WritableImage loadImage(Mat image) throws IOException {
MatOfByte matOfByte = new MatOfByte();
Imgcodecs.imencode(".jpg", image, matOfByte);
//将编码的 Mat 存储在字节数组中
byte[] byteArray = matOfByte.toArray();
//显示图像
InputStream in = new ByteArrayInputStream(byteArray);
BufferedImage bufImage = ImageIO.read(in);
System.out.println("Image Loaded");
WritableImage writableImage = SwingFXUtils.toFXImage(bufImage, null);
return writableImage;
}
public static void main(String args[]) {
launch(args);
}
}
输入
输出
