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A subpixel registration algorithm for low PSNR images
Feng, Song1,2; Deng LH(邓林华)3,4; Shu, Guofeng1,2; Wang, Feng1; Deng, Hui1; Ji, Kaifan1
会议录名称2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
2012
页码626-630
DOI10.1109/ICACI.2012.6463241
会议录编者/会议主办者IEEE
产权排序第3完成单位
收录类别EI ; CPCI
会议名称IEEE 5th International Conference on Advanced Computational Intelligence (ICACI)
会议日期2012-10-18
会议地点Nanjing, PEOPLES R CHINA
会议赞助商IEEE; IEEE Nanjing Sect
摘要

This paper presents a fast algorithm for obtaining high-accuracy subpixel translation of low PSNR images. Instead of locating the maximum point on the upsampled images or fitting the peak of correlation surface, the proposed algorithm is based on the measurement of centroid on the cross correlation surface by Modified Moment method. Synthetic images, real solar images and standard testing images with white Gaussian noise added were tested, and the results show that the accuracies of our algorithm are comparable with other subpixel registration techniques and the processing speed is higher. The drawback is also discussed at the end of this paper.

项目资助者N/A
语种英语
学科领域计算机科学技术
学科门类工学 ; 工学::计算机科学与技术(可授工学、理学学位)
文章类型Proceedings Paper
出版者IEEE
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN号978-1-4673-1744-3
URL查看原文
WOS记录号WOS:000327197800132
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
关键词[WOS]Phase Correlation ; Extension ; Accuracy
EI入藏号20131116105358
EI主题词Algorithms
EI分类号723.4artificial Intelligence - 921mathematics
引用统计
被引频次:27[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/4858
专题抚仙湖太阳观测和研究基地
通讯作者Ji, Kaifan
作者单位1.Computer Technology Application Key Lab of Yunnan Province, Kunming University of Sciences and Technology, Chenggong, Kunming, China, 650500
2.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012
3.National Astronomical Observatories/Yunnan Astronomical Observatory,Chinese Academy of Sciences, Kunming, China, 650011
4.Graduate University of Chinese Academy of Sciences, Beijing, China, 100049
推荐引用方式
GB/T 7714
Feng, Song,Deng LH,Shu, Guofeng,et al. A subpixel registration algorithm for low PSNR images[C]//IEEE. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2012:626-630.
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