Scale space is a framework for multi-scale signal representation, crucial in image processing and computer vision, where it allows for the analysis of images at various levels of detail. It is typically implemented using Gaussian blurring, which provides a continuous transition from fine to coarse scales, facilitating feature detection and image analysis at different resolutions.