An efficient local-structure-based face-hallucination method
In this paper, we propose a novel patch-based face-hallucination algorithm, which is based on the local structure kernels established via the relation between interpolated low-resolution (LR) images and their corresponding high-resolution counterparts. In our algorithm, the local linear embedding (LLE) algorithm is used to extract local structures, and the kernels are then constructed based on non-overlapped patches in the interpolated LR images. The information about local structures as described by the kernels is propagated to the corresponding regions of the HR images. Sub-pixel distortions are refined by solving a constrained problem at pixel level via iterative procedures. Experimental results show that our proposed method can provide a good performance in terms of reconstruction errors and visual quality.