With joint learning of sampling and recovery, the deep learning-based
compressive sensing (DCS) has shown significant improvement in performance and
running time reduction. Its reconstructed image, however, losses high-frequency
content especially at low subrates. This happens similarly in the multi-scale
sampling scheme which also samples more low-frequency