A super-resolution network for medical imaging via transformation analysis of wavelet multi-resolution
Description
In recent years, deep learning super-resolution models for progressive reconstruction have achieved great success. However, these models which refer to multi-resolution analysis basically ignore the information contained in the lower subspaces and do
