Image registration is mapping positions in one image with the corresponding positions in the other image. Rigid registration o f images using hierarchical decomposition is useful because a coarse to fin e strategy helps in correctly estimating the mapping function parameters as we move to a finer resolution at each level. This also reduces search space and computational time. Multi resolution nature o f wavelets is employed for image decomposition. The decom posed images are then registered using maximization of Mutual Information (MI). In this paper variation o f MI and signal to noise ratio (SNR) with increase in
level o f decomposition and with use o f Sub-sampling/filtering an d wavelet decomposition has been analyzed. Results with wavelet decomposition have been found to be better than those with subsampling! filtering as with each reduced search space finer details are being analyzed rather than the entire image content and this is the inherent feature of wavelet decomposition.
Mutual Information Based Image Registration: Approach Using Wavelet Decomposition
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Published 2007-04-30
Pages 36-45
Abstract
References
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