Introduction - OpenCV Tutorial C++

Gaussian blur/smoothing is the most commonly used smoothing technique to eliminate noises in images and videos. In this technique, an image should be convolved with a Gaussian kernel to produce the smoothed image.
You may define the size of the kernel according to your requirement. But the standard deviation of the Gaussian distribution in X and Y direction should be chosen carefully considering the size of the kernel such that the edges of the kernel is close...

Homogeneous Blur is the most simplest method of smoothing an image. It is also called as Homogeneous Smoothing, Homogeneous Filtering and Box Blurring. In this technique, each pixel value is calculated as the average value of the neighborhood of the...

"Bilateral Smoothing" is also called as "Bilateral Blurring" or "Bilateral Filtering". This is the most advanced filter to smooth an image and reduce noise. All of the above filters will smooth away the edges while removing noises. But this filter is...

"Median Smoothing" is also called as "Median Blurring" or "Median Filtering". This is also a common smoothing technique. The input image is convolved with a Median kernel. Median filtering is widely used in edge detection algorithms because under certain...