中文摘要：

提出了基于位置权重稀疏表示的人脸超分辨率方法,利用目标分块与样本原子之间的位置关系,提高原子基选择的精确性,并减少了计算复杂度。仿真实验结果表明,在主客观质量方面,提出的基于位置权重的稀疏表示人脸超分辨率方法相比于传统的稀疏表示图像超分辨率方法均有显著提高。

英文摘要：

The image super-resolution via sparse representation considers that the patches of images can be represented by an appropriate over-complete dictionary,so sparse coefficients of low-dimensional space are mapped into high-dimension one for synthesizing high-definition patches.We propose a face super-resolution based on sparse representation with position weights method,which use the positional relationship between target patch and the sample atom as the criteria for atomic matching,to improve the accuracy of atomic basis selection and reduce the computational complexity.Experimental results demonstrate the proposed face super-resolution based on sparse representation with position weights method outperforms the traditional schemes significantly both in subjective and objective quality.