基于稀疏表示的超分辨率图像重建

摘要

A super-resolution reconstruction approach to single low-resolution image based on sparse representa-tion is presented.We solve the sparse linear combination of the dictionary through jointing input low-resolution image and generated high-resolution image patches, and then use the coefficients to adjust the output high-resolution image patches.The results of simulation experiments show that the proposed algorithm is effective to improve the quality of the reconstruction of high-resolution image.%针对单幅低分辨率图像的超分辨率重建，提出一种基于稀疏表示的改进算法。通过联合输入低分辨率图像块和对应生成的高分辨率图像块，求解其在高低分辨率字典对上的稀疏表示系数，再将系数与高分辨率字典结合，修正输出的高分辨率图像块。仿真实验表明，文中提出的算法有效提升了重建图像的质量。