Gradient-based subspace phase correlation for fast and effective image alignment
To prove the efficacy of subspace phase correlation in estimating 2D image offsets. To prove more robust results yielded from subspace approach under zero-mean noise. To prove our method robust to non-zero-mean noise caused by non-overlapped regions. To prove higher peaks yielded by our method for robustness with reduced complexity. To validate the effectiveness with various synthetic data and noisy MRI images.
phase correlation image registration sub-pixel alignment interference terms subspace projection fourier transform motion estimation fast algorithm