Image registration based on complex wavelet pyramid and HVS modeling
Paul G. Bao, Dan Xu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
Image Registration, one of the scene encoding approaches, is a very active research topic in computer vision and computer graphics community. This paper presents a robust image registration scheme that employs complex wavelet pyramid and the human visual perceptive thresholding techniques. Complex wavelet transform guarantees not only a global optimal solution, but also the scale and translation invariance for the image alignment. Applying the Human Visual System thresholding for wavelet coefficients shows that image can be compressed significantly (30-100:1 ratio) while the detail of the structured information can be retained so that the transformation obtained from the thresholded wavelet images is sufficiently accurate when applying on the original images. The transformation can be progressively refined on the multiresolution decomposition. This guarantees the robustness of the scheme with a better performance than the traditional registration techniques. Moreover, the scheme registers images taken directly by hand-held digital camera without knowing camera motion and any intrinsic parameters of camera.