1. Introduction
Facial details of human face are required in many computer vision applications, e.g., person identification in video surveillance systems. However, face images captured by surveillance camera are often noisy and small, leading to the limited information available for reference. To tackle this challenge, face hallucination technique, a domain-specific super-resolution problem aimed at generating high-resolution (HR) face images from low-resolution (LR) inputs has been widely studied recently.