It is a type of image-blurring filter that uses a normal distribution (also called "Gaussian distribution", thus the name "Gaussian Blur") for calculating the transformation to apply to each pixel in the image.
Each pixel's value is set to a weighted average of that pixel's neighborhood. The original pixel's value receives the heaviest weight (having the highest Gaussian value), and neighboring pixels receive smaller weights as their distance to the original pixel increases.
This results in a blur that preserves boundaries and edges better thanother, more uniform blurring filters.
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