Gaussian blur is an image-processing technique that smooths an image by reducing sharp details and sudden changes between neighboring pixels. It applies a mathematical pattern called a Gaussian distribution to determine how strongly nearby pixels influence each other. This creates a soft, evenly blurred appearance while preserving the overall shapes and structure of the image.
It is commonly used in photography, computer vision, video processing, and graphic design. Gaussian blur can help reduce image noise, soften backgrounds, prepare images for object detection, and create depth or focus effects. It is also useful before other image-processing operations because smoothing can reduce small unwanted variations that might otherwise interfere with accurate analysis.
.
