MULTI-FRAME IMAGE SUPER-RESOLUTION BASE ON GRADIENT VECTOR FLOW

被引：0
|
作者：
Zhou, Zuofeng [1 ]
Cao, Jianzhong [1 ]
Wang, Hao [1 ]
机构：
[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
来源：
2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 2 | 2012年
关键词：
Multi-frame Super Resolution; Regularization; Gradient Vector Flow; RECONSTRUCTION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Multi-frame super-resolution reconstruction aims to fuse several low resolution images into one image with high optical resolution. In this paper, a new regularization-based multi-frame image super-resolution algorithm is presented. Utilizing the gradient directional information, the proposed algorithm uses the gradient vector flow to measure the gradient consistency between the high-resolution image and low-resolution images. Experiment results show that the proposed algorithm achieves better performance than other multi-frame image super-resolution methods.
引用
收藏
页码：307 / 311
页数：5
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