Gaussian Noise in emgucv - emgucv

Question

How can I add gaussian noise ( with a particular mean and variance ) to an image using emgucv ?

Answer 1

I'm not sure quite what your asking as a Gaussian filter tends to be there to remove noise. To use a custom kernel you can use the following code. If you wish to add noise with a set mean and variance then you may have to resort to looping through the my_image.Data property and add it that way. Here is the code for using a custom Kernel if it's not quite what your after let me know and I'll try and find something more appropriate a link to example images may be useful in this case.
Image<Bgr, Byte> my_image = new Image<Bgr, byte>(open.FileName);
float[,] k = { {0, 0, 0},
{0, 0, -0},
{0.33F, 0, -0}};
ConvolutionKernelF kernel = new ConvolutionKernelF(k);
Image<Bgr, float> convolutedImage = my_image * kernel;
pictureBox1.Image = convolutedImage.ToBitmap();
I Hope this Helps,
Chris

Answer 2

Bitmap image = //your bitmap image
Image<Hsv, Byte> templateImageInHsv = new Image<Hsv, Byte>(image);
templateImageInHsv = templateImageInHsv.SmoothGaussian(3);
// Summary:
// Perform Gaussian Smoothing in the current image and return the result
//
// Parameters:
// kernelSize:
// The size of the Gaussian kernel (kernelSize x kernelSize)
//
// Returns:
// The smoothed image
public Image<TColor, TDepth> SmoothGaussian(int kernelSize);

Answer 3

public static Image<Gray, byte> AddGaussianNoise(Image<Gray, byte> originalImage,int mean=0, int sigma=1)
{
var rnd = new Random();
var noiseGenerator = new GaussianRandom(rnd);
var noiseImage = new Image<Gray, float>(originalImage.Width, originalImage.Height);
var tempImage = new Image<Gray, float>(originalImage.Bitmap);
var noiseArray = Enumerable.Range(0, tempImage.Width * tempImage.Height).Select(o =>(float) noiseGenerator.NextGaussian(0, sigma)+mean).ToArray();
noiseArray = noiseArray.Select(o => o+mean ).ToArray();
var arrayAsBytes= GetByteArray(noiseArray);
noiseImage.Bytes = arrayAsBytes;
tempImage += noiseImage;
return tempImage.Convert<Gray, byte>();
}
For the GaussianRandom I am using https://stackoverflow.com/a/4594881