Efficient Distortion Rectification Using Ordinal Distortion Estimation

Distortion rectification can be effectively achieved by learning an ordinal distortion representation from a single distorted image, which provides a more explicit and homogeneous learning target compared to the traditional implicit and heterogeneous distortion parameters.