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Proceedings Paper

Feature detection and fusion for intelligent compression
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Paper Abstract

In previous work a novel approach was described which used automatic target detection together with compression techniques to achieve intelligent compression by exploiting knowledge of the image content. In this paper an extension to this work is presented in which a set of standard feature detectors such as HV-quadtrees, approximate entropy and phase congruency are used as target discriminators. These detectors all attempt to find potential areas of interest within an image but will undoubtedly be slightly different in their estimates. A probabilistic (Bayesian belief) network is then used to fuse this information into a single hypothesis of interesting areas within an image. A wavelet- based decomposition can then be applied to the image in which selective destruction of wavelet coefficients is performed outside the cued areas of interest (in effect concentrating the wavelet information into the required areas) prior to the encoding with a version of the progressive SPIHT encoder. One of the difficulties with this approach can be when large quantities of wavelet coefficients are discarded, this can potentially lead to abrupt changes at a mask boundary resulting in (visually) undesirable effects in the reconstructed image. An improvement to this is to modify the fused feature image using morphology in order to arrive at a multi-level fuzzy mask. This can then be used to gradually reduce the significance of coefficients as the distance from the mask increases. Results will illustrate how this approach can be used for the detection and compression of airborne reconnaissance imagery.

Paper Details

Date Published: 16 August 2001
PDF: 12 pages
Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); doi: 10.1117/12.436986
Show Author Affiliations
Paul G. Ducksbury, Defence Evaluation and Research Agency Malvern (United Kingdom)
Margaret J. Varga, Defence Evaluation and Research Agency Malvern (United Kingdom)

Published in SPIE Proceedings Vol. 4380:
Signal Processing, Sensor Fusion, and Target Recognition X
Ivan Kadar, Editor(s)

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