An Efficient Deep-Learning-Based Super-Resolution Accelerating SoC With Heteroge

Abstract

This article presents an energy-efficient accelerating system-on-chip (SoC) for super-resolution (SR) image reconstruc- tion on a mobile platform. With the rise of contactless commu- nication and streaming services, the need for SR is growing. As one of the most basic low-level image processing algorithms, SR can reconstruct high-quality images from low-quality images which are noisy, compressed, or with damaged pixels. However, a massive amount of computation and considerable precision of pixel