Research of Sub-Pixel Image Registration Based on Local-Phase Correlation
A fast and effective sub-pixel image registration algorithm based on image local-phase correlation is presented. Using phase assessment methods, initial shift is performed by calculations. And the maximum cross-correlation value is obtained according to fast Fourier transform (FFT) of the local power spectrum after upsampling on the local area of the image. The experimental results show that the algorithm exhibits high running speed and it can work on common computers; moreover, it can restrain noise well.
KeywordsLocal-phase correlation Fast fourier transform Sub-pixel image registration Image processing
- 1.Fienup JR (1997) Invariant error metrics for image reconstruction. Appl Opt.36(32):8352–8357Google Scholar
- 5.Lee JY, Kim KB, Lee SH et al. (2012) Image registration for sub-pixel using pyramid edge images. In: Proceedings of the international conference on IT convergence and security 2011 (Lecture notes in electrical engineering), vol 345. pp 120–123 Google Scholar
- 7.Wu Z, Hu YM (2010) Sub-pixel image registration algorithm based on phase correlation and image resampling. J South Chin Univ Technol (Nat Sci Ed) 38(10):68-73Google Scholar