• 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