Translation insensitive image similarity in complex wavelet domain

Abstract

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… (More)
DOI: 10.1109/ICASSP.2005.1415469

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@article{Wang2005TranslationII, title={Translation insensitive image similarity in complex wavelet domain}, author={Zhou Wang and Eero P. Simoncelli}, journal={Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.}, year={2005}, volume={2}, pages={ii/573-ii/576 Vol. 2} }