Opencv实现联合双边滤波

#include<opencv2/opencv.hpp>
#include<ximgproc.hpp>
 
using namespace cv;
 
 
Mat addSaltNoise(const Mat srcImage, int n)
{
 Mat dstImage = srcImage.clone();
 for (int k = 0; k < n; k++)
 {
  //随机取值行列
  int i = rand() % dstImage.rows;
  int j = rand() % dstImage.cols;
  //图像通道判定
  if (dstImage.channels() == 1)
  {
   dstImage.at<uchar>(i, j) = 255;  //盐噪声
  }
  else
  {
   dstImage.at<Vec3b>(i, j)[0] = 255;
   dstImage.at<Vec3b>(i, j)[1] = 255;
   dstImage.at<Vec3b>(i, j)[2] = 255;
  }
 }
 for (int k = 0; k < n; k++)
 {
  //随机取值行列
  int i = rand() % dstImage.rows;
  int j = rand() % dstImage.cols;
  //图像通道判定
  if (dstImage.channels() == 1)
  {
   dstImage.at<uchar>(i, j) = 0;  //椒噪声
  }
  else
  {
   dstImage.at<Vec3b>(i, j)[0] = 0;
   dstImage.at<Vec3b>(i, j)[1] = 0;
   dstImage.at<Vec3b>(i, j)[2] = 0;
  }
 }
 return dstImage;
}
 
 
int main() {
 Mat src = imread("test.png", 1);
 src = addSaltNoise(src, 3000);
 
 Mat joint = imread("test.png", 0);
 
 Mat dst;
 int64 begin = cvGetTickCount();
 ximgproc::jointBilateralFilter(joint, src, dst, -1, 3, 9);
 int64 end = cvGetTickCount();
 
 float time = (end - begin) / (cvGetTickFrequency() * 1000.);
 printf("time= %fms\n", time);
 
 
 imshow("src", src);
 imshow("joint", joint);
 imshow("jointBilateralFilter", dst);
 waiTKEy(0);
 
 return 0;
}