3-4將雜訊的圖片濾波(BoxFilter, 中值濾波, bilateral filter)

3-4將雜訊的圖片濾波(BoxFilter, 中值濾波, bilateral filter)

程式說明:

運行結果:

   底下是高斯雜訊做filter, 第一張圖是做了box filter, 第二張是做了median filter, 第三張是做了bilateral filter


   底下是椒鹽雜訊做filter, 第一張圖是做了box filter, 第二張是做了median filter, 第三張是做了bilateral filter

範例程式:

#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>

int main(int argc, char** argv)
{
   cv::Mat imgWithGaussianNoise = cv::imread("ImgWithGaussianNoise.bmp", 0);
   cv::Mat imgWithPepperSaltNoise = cv::imread("ImgWithPepperSaltNoise.bmp", 0);

   if (imgWithGaussianNoise.empty() || imgWithPepperSaltNoise.empty())
   {
     std::cout << "無法讀取圖片" << std::endl;
     return -1;
   }

   cv::Mat imgWithGaussianNBox, imgWithGaussianNMedian, imgWithGaussianNBilateral;
   cv::Mat imgWithPepperSaltNBox, imgWithPepperSaltNMedian, imgWithPepperSaltNBilateral;

   cv::boxFilter(imgWithGaussianNoise, imgWithGaussianNBox, -1, cv::Size(3, 3));
   cv::medianBlur(imgWithGaussianNoise, imgWithGaussianNMedian, 3);
   cv::bilateralFilter(imgWithGaussianNoise, imgWithGaussianNBilateral, 10, 20,20);

   cv::boxFilter(imgWithPepperSaltNoise, imgWithPepperSaltNBox, -1, cv::Size(3, 3));
   cv::medianBlur(imgWithPepperSaltNoise, imgWithPepperSaltNMedian, 3);
   cv::bilateralFilter(imgWithPepperSaltNoise, imgWithPepperSaltNBilateral, 10, 20, 20);

   cv::imshow("boxFilter", imgWithGaussianNBox);
   cv::waitKey(0);
   cv::imshow("medianFilter", imgWithGaussianNMedian);
   cv::waitKey(0);
   cv::imshow("bilateralFilter", imgWithGaussianNBilateral);
   cv::waitKey(0);

   cv::imshow("boxFilter", imgWithPepperSaltNBox);
   cv::waitKey(0);
   cv::imshow("medianFilter", imgWithPepperSaltNMedian);
   cv::waitKey(0);
   cv::imshow("bilateralFilter", imgWithPepperSaltNBilateral);
   cv::waitKey(0);

   return 0;
}