Paper
12 May 2006 A bit planes predictive-transform source coder illustrated with SAR imagery
Erlan H. Feria, Dalibor Licul
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erlan H. Feria and Dalibor Licul "A bit planes predictive-transform source coder illustrated with SAR imagery", Proc. SPIE 6250, Mobile Multimedia/Image Processing for Military and Security Applications, 625004 (12 May 2006); https://doi.org/10.1117/12.666154
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Computer programming

Synthetic aperture radar

Image compression

Data compression

JPEG2000

Radar

Signal to noise ratio

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