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Model-based region-of-interest estimation for adaptive resource allocation in multi-aperture imaging systems

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4 Author(s)
Sinharoy, I. ; Magnum Semicond. Milpitas, Milpitas, CA ; Douglas, S.C. ; Rajan, D. ; Christensen, M.P.

Using intelligent resource allocation based on the information content in the imaging system's field-of-view for the successful design of a flat-profile multiplexed optical imaging system requires the use of adaptive techniques. This paper describes a model-based technique for determining regions of interest in aerial images using the 2D normalized power spectral density within Gilles' saliency map estimator. The proposed technique exploits the 1/falpha spatial spectral shape of such natural imagery in a computationally-simple approach that is robust to additive noise. Application of the method to candidate aerial images shows its ability to identify consistent regions of interest for such data.

Published in:

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Date of Conference:

March 31 2008-April 4 2008