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Proceedings Paper

Adaptive pattern-based image compression for ultra-low bandwidth weapon seeker image communication
Author(s): Hai Wei; Sakina Zabuawala; Karthik M. Varadarajan; Jacob Yadegar; Joseph Yadegar; David Gray; John McCalmont; James Utt
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Paper Abstract

The effectiveness of autonomous munitions systems can be enhanced by transmitting target images to a man-in-the-loop (MITL) as the system deploys. Based on the transmitted images, the MITL could change target priorities or conduct damage assessment in real-time. One impediment to this enhancement realization is the limited bandwidth of the system data-link. In this paper, an innovative pattern-based image compression technology is presented for enabling efficient image transmission over the ultra-low bandwidth system data link, while preserving sufficient details in the decompressed images for the MITL to perform the required assessments. Based on a pattern-driven image model, our technology exploits the structural discontinuities in the image by extracting and prioritizing edge segments with their geometric and intensity profiles. Contingent on the bit budget, only the most salient segments are encoded and transmitted, therefore achieving scalable bit-streams. Simulation results corroborate the technology efficiency and establish its subjective quality superiority over JPEG/JPEG2000 as well as feasibility for real-time implementation. Successful technology demonstrations were conducted using images from surrogate seekers in an aircraft and from a captive-carry test-bed system. The developed technology has potential applications in a broad range of network-enabled weapon systems.

Paper Details

Date Published: 27 April 2009
PDF: 12 pages
Proc. SPIE 7341, Visual Information Processing XVIII, 73410B (27 April 2009); doi: 10.1117/12.819797
Show Author Affiliations
Hai Wei, UtopiaCompression Corp. (United States)
Sakina Zabuawala, UtopiaCompression Corp. (United States)
Karthik M. Varadarajan, UtopiaCompression Corp. (United States)
Jacob Yadegar, UtopiaCompression Corp. (United States)
Joseph Yadegar, UtopiaCompression Corp. (United States)
David Gray, USAF AFRL/RWGI (United States)
John McCalmont, AFRL/RYJT (United States)
James Utt, Defense Engineering Corp. (United States)


Published in SPIE Proceedings Vol. 7341:
Visual Information Processing XVIII
Zia-Ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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