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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
2012
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
页码626-630
通讯作者Ji, Kaifan(report author), Kunming Univ Sci & Technol, Comp Technol Applicat Key Lab Yunnan Prov, Chenggong Kunming 650500, Peoples R China.
英文摘要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.
收录类别EI ; CPCI
产权排序第3完成单位
会议网址http://ieeexplore.ieee.org/document/6463241/
会议录2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
学科主题Computer Science ; Engineering
语种英语
ISBN号978-1-4673-1744-3
WOS记录号WOS:000327197800132
研究领域[WOS]Computer Science ; Engineering
内容类型会议论文
源URL[http://ir.ynao.ac.cn/handle/114a53/4858]  
专题云南天文台_抚仙湖太阳观测站
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]. 见:IEEE 5th International Conference on Advanced Computational Intelligence (ICACI). Nanjing, PEOPLES R CHINA. 2012-10-18.http://ieeexplore.ieee.org/document/6463241/.
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