Gaussian kernel calculator

1. What are Gaussian kernels?
2. What is Gaussian kernel used for?
3. How is Gaussian blur calculated?
4. What is kernel size in Gaussian blur?

What are Gaussian kernels?

The Gaussian kernel is the physical equivalent of the mathematical point. It is not strictly local, like the mathematical point, but semi-local. It has a Gaussian weighted extent, indicated by its inner scale s.

What is Gaussian kernel used for?

In other words, the Gaussian kernel transforms the dot product in the infinite dimensional space into the Gaussian function of the distance between points in the data space: If two points in the data space are nearby then the angle between the vectors that represent them in the kernel space will be small.

How is Gaussian blur calculated?

To put it simply, the Gaussian blur algorithm is a process of performing a weighted average operation on the entire image. The value of each pixel is obtained by weighted averaging of itself and other pixel values in the field.

What is kernel size in Gaussian blur?

The Gaussian function shown has a standard deviation of 10x10 and a kernel size of 35x35 pixels. Notice that a large part of the kernel for the y direction contains values very close to zero due to the low standard deviation in this direction.