A wavelet-based remote sensing image coding for noisy channels

Jiaji Wu; Jingchun Qi; Licheng Jiao

doi:10.1117/12.833584

30 October 2009 A wavelet-based remote sensing image coding for noisy channels

Jiaji Wu, Jingchun Qi, Licheng Jiao

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982H (2009) https://doi.org/10.1117/12.833584
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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).

Citation Download Citation

Jiaji Wu, Jingchun Qi, and Licheng Jiao "A wavelet-based remote sensing image coding for noisy channels", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982H (30 October 2009); https://doi.org/10.1117/12.833584

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