Feature detection and fusion for intelligent compression

Paul G. Ducksbury; Margaret J. Varga

doi:10.1117/12.436986

16 August 2001 Feature detection and fusion for intelligent compression

Proceedings Volume 4380, Signal Processing, Sensor Fusion, and Target Recognition X; (2001) https://doi.org/10.1117/12.436986
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Paul G. Ducksbury and Margaret J. Varga "Feature detection and fusion for intelligent compression", Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); https://doi.org/10.1117/12.436986

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