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