An Improved Neighbor Embedding Method to Super-resolution Reconstruction of a Single Image
Wensen Yu, Shuqing Chen · Procedia Engineering · 2011
In this paper, an improved neighbor embedding super-resolution method is proposed by offering two extensions. Firstly, an improved neighbor embedding algorithm is presented to overcome over- or under-fitting problem existing in the neighbor embedding algorithm of [7]. In our algorithm, the local geometry of each image patch is characterized by the reconstruction weights with which the patch is reconstructed from all the neighbors in the neighborhood which depends on an empirical threshold. Thus, each image patch is reconstructed from all the neighbors in the neighborhood rather than k nearest neighbors. Secondly, a global reconstruction constraint is incorporated into super-resolution reconstruction process to make the degraded version of target high-resolution image consistent with measured low-resolution image. Experiments show that our method yields better results.