I\'m trying to to add noise to an Image & then Denoise it to test my DeNoising algorithm! So for benchmark i\'m referring this Online Test samples. I\'m trying to replic
Thank you @Andrey Smorodov For your insights! I got it working! Here is my updated code for adding Noise in a Color Image. Hope this will be useful for someone!
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include
using namespace cv;
using namespace std;
inline BYTE Clamp(int n)
{
n = n>255 ? 255 : n;
return n<0 ? 0 : n;
}
bool AddGaussianNoise(const Mat mSrc, Mat &mDst,double Mean=0.0, double StdDev=10.0)
{
if(mSrc.empty())
{
cout<<"[Error]! Input Image Empty!";
return 0;
}
Mat mGaussian_noise = Mat(mSrc.size(),CV_16SC3);
randn(mGaussian_noise,Scalar::all(Mean),Scalar::all(StdDev));
for (int Rows = 0; Rows < mSrc.rows; Rows++)
{
for (int Cols = 0; Cols < mSrc.cols; Cols++)
{
Vec3b Source_Pixel= mSrc.at(Rows,Cols);
Vec3b &Des_Pixel= mDst.at(Rows,Cols);
Vec3s Noise_Pixel= mGaussian_noise.at(Rows,Cols);
for (int i = 0; i < 3; i++)
{
int Dest_Pixel= Source_Pixel.val[i] + Noise_Pixel.val[i];
Des_Pixel.val[i]= Clamp(Dest_Pixel);
}
}
}
return true;
}
bool AddGaussianNoise_Opencv(const Mat mSrc, Mat &mDst,double Mean=0.0, double StdDev=10.0)
{
if(mSrc.empty())
{
cout<<"[Error]! Input Image Empty!";
return 0;
}
Mat mSrc_16SC;
Mat mGaussian_noise = Mat(mSrc.size(),CV_16SC3);
randn(mGaussian_noise,Scalar::all(Mean), Scalar::all(StdDev));
mSrc.convertTo(mSrc_16SC,CV_16SC3);
addWeighted(mSrc_16SC, 1.0, mGaussian_noise, 1.0, 0.0, mSrc_16SC);
mSrc_16SC.convertTo(mDst,mSrc.type());
return true;
}
int main(int argc, const char* argv[])
{
Mat mSource= imread("input.png",1);
imshow("Source Image",mSource);
Mat mColorNoise(mSource.size(),mSource.type());
AddGaussianNoise(mSource,mColorNoise,0,10.0);
imshow("Source + Color Noise",mColorNoise);
AddGaussianNoise_Opencv(mSource,mColorNoise,0,10.0);//I recommend to use this way!
imshow("Source + Color Noise OpenCV",mColorNoise);
waitKey();
return 0;
}