Gaussian Blur is a digital image processing technique used to create a smooth, softening effect on images. It works by averaging the pixels around a target pixel, weighted by a Gaussian function, which gives more importance to nearby pixels. This results in a blurred image that reduces noise and detail, making it useful for various applications like background softening or creating a dreamy effect. The technique is named after the mathematician Carl Friedrich Gauss, whose work on the Gaussian function underpins the method. Gaussian Blur is commonly used in graphic design, photography, and computer vision to enhance visual aesthetics or focus attention on specific areas of an image.