We consider the transmission of progressive image data
over noisy channels when the coded packet size is fixed. The concatenated
cyclic redundancy check (CRC) codes and ratecompatible
punctured turbo codes are used for error control and
detection. In such an application, the distortion-based optimal channel
rate allocation for unequal error protection is complex. We first
propose a suboptimal genetic algorithm–based method that not only
largely reduces the optimization complexity but also obtains performance
approaching to the results of a brute force search. In addition,
because a large packet size is usually applied when turbo
codes are used due to the fact that the coding gain is proportional to
the packet size for a given code rate, a single remaining bit error
after channel decoding may result in CRC failure and hence the
discard of the entire packet. Therefore, we further propose a
multiple-CRC structure for certain data packets so that more correctly
decoded data could be used in source decoding. The promising
performance of the proposed scheme has been demonstrated
through simulation.
Lei Yao,
Lei Cao,
"Progressive image transmission with genetic algorithm–based optimization and multiple cyclic redundancy check structure," Journal of Electronic Imaging 17(2), 023009 (1 April 2008). https://doi.org/10.1117/1.2907203
Lei Yao, Lei Cao, "Progressive image transmission with genetic algorithm–based optimization and multiple cyclic redundancy check structure," J. Electron. Imag. 17(2) 023009 (1 April 2008)