Optimal Code Rate Allocation with Turbo Product Codes for JPEG2000 Compression of Ultraspectral Sounder Data

Give a limited bandwidth, unequal error protection (UEP) via channel coding with different code rates for different important regions of bitstream may yield much less error contamination than equal error protection (EEP). We propose an optimal code rate allocation scheme that minimizes error contamination after channel and source decoding. We use JPEG2000 for source coding and turbo product code (TPC) for channel coding as an example to demonstrate this technique with ultraspectral sounder data. The statistics of erroneous pixels after TPC and JPEG2000 decoding are used to determine the optimal channel code rates for each wavelet resolution. The proposed UEP scheme significantly reduces error contamination when compared to its EEP counterpart. The optimal code rate allocation needs to be determined only once, given any predefined set of available channel codes, desired code rate, and noise level.