A Gaussian blur kernel is a fundamental tool in image processing and computer vision, used to reduce noise and detail in an image, creating a smooth, blurred effect. This kernel is derived from the Gaussian function, characterized by its bell-shaped curve, which ensures that pixels closer to the center of the kernel have higher weights and contribute more significantly to the average. When applying a Gaussian blur, each pixel in the image is replaced by a weighted average of its neighbors, with

Linear Functions

Composite Functions