Description
Image differences can be compared with a perceptual metric that better matches human vision than raw pixel checks. It is useful for visual regression testing, compression evaluation, and image-quality workflows.
Perceptual metrics still need meaningful thresholds. Review borderline results manually and keep original images when comparing quality changes.