The best metric for image comparison depends on the specific use case and the types of images being compared. Mean squared error is a simple and widely used metric, but it can be sensitive to changes in brightness and contrast. Structural similarity index is more robust to these changes and provides a measure of perceptual similarity, but it can be slower to compute.