Face hallucination revisited: A joint framework

The paper presents a joint framework for face hallucination incorporating face deblurring and registration. The joint framework not only directly hallucinates low resolution faces, but also deblurs and aligns low resolution faces iteratively to improve the performance of face hallucination. Without the need for accurate face registration and prior knowledge of blurring kernels, it is robust to errors in face registration and blurring kernel. Experimental results demonstrate the robust performance of the proposed method.