Review: DBPN & D-DBPN -- Deep Back-Projection Networks For Super-Resolution (Super Resolution)

Multiple networks are constructed as S (T 2), M (T 4), and L (T 6) from the original DBPN. In the feature extraction, we use conv(3, 128) followed by conv(1, 32). Then, we use conv(1, 1) for the reconstruction. The input and output images are luminance only. The S network gives a higher PSNR than VDSR, DRCN, and LapSRN.