Research on Super-resolution of Image

被引:0
作者
Zheng Genrang [1 ]
机构
[1] Zhongshan Polytech, Dept Comp Engn, Zhongshan 528404, Guangdong, Peoples R China
来源
2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL IV | 2011年
关键词
Super-resolution; spatial methods; frequency domain methods; independent component analysis; INTERPOLATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Explained the background of super-resolution, current status and problems. By analyzing the existing research results, that the low-resolution images to high resolution image by the process of change with some regularity, this law is consistent on the different images, not because of the image types of changes. Find the regularity of this change process, you can achieve super-resolution. On this basis, respectively, from airspace, frequency, and information theory, on the single image super-resolution was to try and verify. Experimental results show that low-resolution images to high resolution image of the change process consistency does exist, but the results are not satisfactory, needs to be further improved, and an improved solution.
引用
收藏
页码:119 / 122
页数:4
相关论文
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