The blur effect is an image processing technique that softens an image or makes it hazy. As a result, the image appears smoother like viewing it through a translucent mirror. It reduces the overall sharpness of the image by decreasing the image noise. It's used in many applications, such as blooming effect, depth-of-field, fuzzy glass, and heat haze effect.
The blurring effect in this recipe is implemented using the Gaussian blur equation. Like other image processing techniques, the Gaussian blur equation also makes use of the convolution filter to process image pixels. Bigger the size of the convolution filter, better and dense is the blur effect. The working principle of the Gaussian blur algorithm is very simple. Basically, each pixel's color is mixed with the neighboring pixel's color. This mixing is performed on the basis of a weight system. Closer pixels are given more weight as compared to farther ones.
The math behind the Gaussian...