DocumentCode :
596659
Title :
A subpixel registration algorithm for low PSNR images
Author :
Song Feng ; Linhua Deng ; Guofeng Shu ; Feng Wang ; Hui Deng ; Kaifan Ji
Author_Institution :
Comput. Technol. Applic. Key Lab. of Yunnan Province, Kunming Univ. of Sci. & Technol., Beijing, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
626
Lastpage :
630
Abstract :
This paper presents a fast algorithm for obtaining high-accuracy subpixel translation of low PSNR images. Instead of locating the maximum point on the up-sampled 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.
Keywords :
Fourier transforms; correlation methods; image registration; image resolution; image sampling; FT; Fourier transform; IFT; centroid measurement; correlation surface peak fitting; cross correlation surface; inverse Fourier transform; low PSNR images; modified moment method; peak signal-to-noise ratio; real solar images; standard testing images; subpixel registration algorithm; subpixel translation; synthetic images; white Gaussian noise; Conferences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463241
Filename :
6463241
Link To Document :
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