Halos, a type of echo of portions of the image, within the image. Mostly prevalent at edges with high contrast.
Suppose there is a way to leverage SR technology to combat halos? If SR normally works by finding similarities in images and combining detail to strengthen true image information, could it not also be run "in reverse" to detect lower-detail echoes and suppress them instead of enhancing them, while still improving in true detail?