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Proceedings Paper

A bit planes predictive-transform source coder illustrated with SAR imagery
Author(s): Erlan H. Feria; Dalibor Licul
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Paper Abstract

In this paper it is found that the outstanding memory space compression achieved with predictive-transform (PT) source coding is not affected by its integration with a very fast and simple bit planes methodology that operates on the quantized coefficient errors emanating from the 'lossy' PT source encoder section. It is shown, in particular, that the technique outperforms wavelets based JPEG2000 by more than 5 dBs when it compresses by a factor of 8,192 a test synthetic aperture radar (SAR) image used in knowledge-aided airborne moving target indicator (AMTI) radar.

Paper Details

Date Published: 12 May 2006
PDF: 11 pages
Proc. SPIE 6250, Mobile Multimedia/Image Processing for Military and Security Applications, 625004 (12 May 2006); doi: 10.1117/12.666154
Show Author Affiliations
Erlan H. Feria, College of Staten Island, CUNY (United States)
Dalibor Licul, College of Staten Island, CUNY (United States)


Published in SPIE Proceedings Vol. 6250:
Mobile Multimedia/Image Processing for Military and Security Applications
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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