Gaussian Filtering is a widely used image smoothing technique that reduces noise by convolving an image with a Gaussian kernel. The kernel applies weighted averaging, with pixels closer to the center contributing more—preserving edges while blurring high-frequency noise. Essential in preprocessing for computer vision tasks like edge detection, feature extraction, and medical imaging (reducing scan noise).
