Learning ramp transformation for single image super-resolution
We propose an edge based single image super-resolution algorithm. Our algorithm involves learning how ramp profiles transform across resolutions. Ramp profiles are defined as monotonic pixel profiles across edges. Our results demonstrate several advantages compared to other techniques.
super-resolution segmentation low-level vision