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Proceedings Paper

A wavelet-based remote sensing image coding for noisy channels
Author(s): Jiaji Wu; Jingchun Qi; Licheng Jiao
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Paper Abstract

We propose a joint source and channel remote sensing image compression system for image transmission over Binary Symmetric Channels (BSC). As an effective wavelet-based compression scheme, Set Partitioned Embedded Block Coder (SPECK) is quite fragile against bit errors in noisy channels. To avoid the failure caused by the loss of synchronization and the error propagation, we improve the error resilience of SPECK with an acceptable degradation of quality. The novel packets division permits to continue reconstructing image when uncorrectable errors occur. The system makes full use of the bit-stream and the simulations show the scheme is better than an Equal Error Protection scheme (EEP) and a Unequal Error Protection scheme (UEP).

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982H (30 October 2009); doi: 10.1117/12.833584
Show Author Affiliations
Jiaji Wu, Xidian Univ. (China)
Jingchun Qi, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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