A bit planes predictive-transform source coder illustrated with SAR imagery

Erlan H. Feria, Dalibor Licul · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006

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.

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