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Proceedings Paper

Wavelet based hierarchical coding scheme for radar image compression
Author(s): Xiaoli Jiao; Jifeng He
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Paper Abstract

This paper presents a wavelet based hierarchical coding scheme for radar image compression. Radar signal is firstly quantized to digital signal, and reorganized as raster-scanned image according to radar's repeated period frequency. After reorganization, the reformed image is decomposed to image blocks with different frequency band by 2-D wavelet transformation, each block is quantized and coded by the Huffman coding scheme. A demonstrating system is developed, showing that under the requirement of real time processing, the compression ratio can be very high, while with no significant loss of target signal in restored radar image.

Paper Details

Date Published: 14 November 2007
PDF: 5 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891Y (14 November 2007); doi: 10.1117/12.745655
Show Author Affiliations
Xiaoli Jiao, Air Force Radar Academy (China)
Jifeng He, No. 23 Research Institute (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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