2015
Conditioned Regression Models for Non-Blind Single Image Super-Resolution
ICCV 2015poster
Single image super-resolution is an important task in the field of computer vision and finds many practical applications. Current state-of-the-art methods typically rely on machine learning algorithms to infer a mapping from low- to high-resolution images. These methods use a single fixed blur ker…