摘要
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。
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 and generated through jointing input low-resolution image 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.
出处
《电子科技》
2015年第9期144-147,共4页
Electronic Science and Technology
关键词
稀疏表示
超分辨率
图像重建
联合高低分辨图像块
sparse representation
super-resolution
image reconstruction
jointing high and low resolution image patches