Translation Insensitive Image Similarity in Complex Wavelet Domain
Presented at:
ICASSP-05, Philadelphia, PA. 19-23 March 2005.
We propose a complex wavelet domain image similarity measure,
which is simultaneously insensitive to luminance change, contrast
change and spatial translation. The key idea is to make use of the
fact that these image distortions lead to consistent magnitude
and/or phase changes of local wavelet coefficients. Since small
scaling and rotation of images can be locally approximated by
translation, the proposed measure also shows robustness to spatial
scaling and rotation when these geometric distortions are small
relative to the size of the wavelet filters. Compared with
previous methods, the proposed measure is computationally
efficient, and can evaluate the similarity of two images without a
precise registration process at the front end.
Reprint (417k, pdf) | Other Online Publications