Kernel Approximations for W-Operator Learning

Designing image operators is a hard task usually tackled by specialists in image processing. An alternative approach is to use machine learning to estimate local transformations, that characterize the image operators, from pairs of input-output images. The main challenge of this approach, called W-operator learning, is estimating operators over large… CONTINUE READING