📜  Java DIP-增强图像清晰度

📅  最后修改于: 2020-12-14 05:37:25             🧑  作者: Mango


在本章中,我们学习使用高斯滤波器来提高图像的清晰度。

首先,我们使用OpenCV函数GaussianBlur 。可以在Imgproc软件包下找到。其语法如下-

Imgproc.GaussianBlur(source, destination, new Size(0,0), sigmaX);

参数简要描述-

Sr.No. Parameter & Description
1

source

It is source image.

2

destination

It is destination image.

3

Size

It is Gaussian kernel size.

4

sigmaX

It is Gaussian kernel standard deviation in X direction.

此外,我们使用OpenCV函数addWeighted将图像水印应用于图像。可以在Core软件包下找到。其语法如下-

Core.addWeighted(InputArray src1, alpha, src2, beta, gamma, OutputArray dst);

该函数的参数如下所述-

Sr.No. Parameter & Description
1

src1

It is first input array.

2

alpha

It is weight of the first array elements.

3

src2

It is second input array of the same size and channel number as src1.

4

Beta

It is weight of the second array elements.

5

gamma

It is scalar added to each sum.

6

dst

It is output array that has the same size and number of channels as the input arrays.

除了GaussianBlur方法外,Imgproc类还提供其他方法。他们简要描述-

Sr.No. Method & Description
1

cvtColor(Mat src, Mat dst, int code, int dstCn)

It converts an image from one color space to another.

2

dilate(Mat src, Mat dst, Mat kernel)

It dilates an image by using a specific structuring element.

3

equalizeHist(Mat src, Mat dst)

It equalizes the histogram of a grayscale image.

4

filter2D(Mat src, Mat dst, int depth, Mat kernel, Point anchor, double delta)

It convolves an image with the kernel.

5

GaussianBlur(Mat src, Mat dst, Size ksize, double sigmaX)

It blurs an image using a Gaussian filter.

6

integral(Mat src, Mat sum)

It calculates the integral of an image.

以下示例演示了如何使用Imgproc和Core类对图像应用锐化-

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.highgui.Highgui;
import org.opencv.imgproc.Imgproc;

public class Main {
   public static void main( String[] args ) {
      try{
         System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
         Mat source = Highgui.imread("digital_image_processing.jpg",
         Highgui.CV_LOAD_IMAGE_COLOR);
         Mat destination = new Mat(source.rows(),source.cols(),source.type());
         Imgproc.GaussianBlur(source, destination, new Size(0,0), 10);
         Core.addWeighted(source, 1.5, destination, -0.5, 0, destination);
         Highgui.imwrite("sharp.jpg", destination);
      } catch (Exception e) {
      }
   }
}

输出

当您执行给定的代码时,将看到以下输出-

原始图片

增强图像清晰度教程

锐利的影像

增强图像清晰度教程