Improved Super-resolution Algorithm of Single-frame Image Based on Least Square Method

被引：0
|
作者：
Shi Chao [1 ]
Xiu Chun-bo [1 ]
Lu Shao-lei [1 ]
机构：
[1] Tianjin Polytech Univ, Key Lab Adv Elect Engn & Energy Technol, Tianjin 300387, Peoples R China
来源：
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年
关键词：
Super-resolution; Interpolation; Least square; Image process; RESOLUTION; RECONSTRUCTION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the quality of single-frame image super-resolution reconstruction, a novel interpolation algorithm based on weighted least squares is proposed. Interpolation pixel can be calculated from different directions by Newton interpolation formula, and get Multiple interpolation results. The interpolation result in the super-solution image can be got by using weighted least squares to fuse all the interpolation results. The weight matrix in the least squares method is determined according to the correlation among the pixels in the original image. Thus, contrasting to the conventional method, it uses more useful information to reconstruct the super-resolution image. Simulation results prove that the method can get the better super-resolution image according to not only visual impression but also the objective evaluation index.
引用
收藏
页码：2648 / 2651
页数：4
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