Structured Uncertainty Similarity Score (SUSS) is a new perceptual image similarity metric that models images through structured multivariate Normal distributions for interpretable, human-aligned assessments. It achieves strong perceptual calibration and localized explanations, making it suitable as a robust loss function for computer vision tasks.