Title :
Image registration using the shift-insensitive discrete wavelet transform
Author :
Shi, Hongli ; Luo, Shuqian
Author_Institution :
Coll. of Biomed. Eng., Capital Med. Univ., Beijing, China
Abstract :
DWT (discrete wavelet transforms) has become an attractive tool in image registration, however, it is shift- sensitive, which is mainly caused by the aliasing term in downsampling process. Some modified schemes of DWT, such as DTCWT (dual-tree complex wavelet transform), always lead to high computational complexity in registration process because of redundancy. In this paper, a new scheme of discrete wavelet transform is proposed to approximately eliminate the aliasing term while the wavelet representation remains redundancy-free, by which the shift sensitivity of wavelet representations of original signal ca be reduced efficiently. The registration results of two medical images illustrate the superiority of the proposed wavelet decomposition scheme.
Keywords :
computerised tomography; discrete wavelet transforms; image registration; image representation; medical image processing; DTCWT; DWT; discrete wavelet transforms; dual-tree complex wavelet transform; image registration; wavelet representation shift sensitivity; Biomedical imaging; Discrete wavelet transforms; Educational institutions; Filters; Image analysis; Image registration; Signal analysis; Signal synthesis; Space vector pulse width modulation; Wavelet analysis;
Conference_Titel :
Medical Image Analysis and Clinical Applications (MIACA), 2010 International Conference on
Conference_Location :
Guangdong
Print_ISBN :
978-1-4244-8011-1
DOI :
10.1109/MIACA.2010.5528412