A New Approach In Single Image Super Resolution

被引：0
作者：
Sarmadi, Saeideh [1 ]
Shamsa, Zari [2 ]
机构：
[1] Persian Gulf Univ, Dept Engn, Boushehr, Iran
[2] Social Secur Org, Dept Informat Technol, Boushehr, Iran
来源：
2016 6TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE) | 2016年
关键词：
super resolution; denoising; deblurring; upsampling; interpolation; SUPERRESOLUTION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Super Resolution image reconstruction tries to obtain a high resolution image from one or more observed low resolution images of the same scene, using signal processing techniques. Variety of super resolution methods have been proposed in last decades. In this paper, we propose a new super resolution algorithm based on single low resolution image. As the super resolution reconstruction is an inverse problem, our method consists of three phases up-sampling, deblurring and denoising. Experimental results show the effectiveness of the proposed method.
引用
收藏
页码：78 / 81
页数：4
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