A 40-nm 91-mW 90-fps Learning-Based Full HD Super-Resolution Accelerator Hsueh-Y

Abstract

Super-resolution has been utilized in a plenty of applications to provide better visual experience. To meet the high-throughput and low-power n eeds, some dedicated accelera- tors for super-resolution have been proposed. Neural-network (NN)-based super-resolution accelerators achieve impressive restoration performance, but the high-computational complexity does not allow a high throughput for video streaming. This work presents a super-resolution accelerator that implements the rapid and accurat