Sub-Pixel Shift Estimation of Image Based on the Least Squares Approximation in Phase Region

Author:

FUJIMOTO Ryo1,FUJISAWA Takanori1,IKEHARA Masaaki1

Affiliation:

1. Department of Electronics and Electrical Engineering, Keio University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Reference10 articles.

1. [1] M. Balci and H. Foroosh, “Subpixel estimation of shifts directly in the Fourier domain,” IEEE Trans. Image Process., vol.15, no.7, pp.1965-1972, 2006. 10.1109/tip.2006.873457

2. [2] W.S. Hoge, “A subspace identification extension to the phase correlation method [MRI application],” IEEE Trans. Med. Imag., vol.22, no.2, pp.277-280, 2003. 10.1109/tmi.2002.808359

3. [3] S.L. Kilthau, M.S. Drew, and T. Moller, “Full search content independent block matching based on the fast Fourier transform,” Proc. International Conference on Image Processing, pp.I-669, IEEE, 2002. 10.1109/icip.2002.1038113

4. [4] B.S. Reddy and B.N. Chatterji, “An FFT-based technique for translation, rotation, and scale-invariant image registration,” IEEE Trans. Image Process., vol.5, no.8, pp.1266-1271, 1996. 10.1109/83.506761

5. [5] S. Nagashima and T. Aoki, “Improved performance for subpixel image matching based on phase-only correlation,” The Society of Instrument and Control Engineers, 2004.

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