Efficient image and channel coding for wireless packet networks
P.G. Sherwood, Xiaodong Tian, K. Zeger · 2000
We combine multiple description (MD) quantization, entropy coding, and data partitioning to improve the error resiliency of images over varying packet loss channels. Our proposed scheme degrades gracefully as channel conditions worsen. A multidimensional extension of the two-channel multiple description scalar quantizer (MDSQ) improves robustness. A high performance wavelet image coder is designed for MDSQ, using the set-partitioning-in-hierarchical-trees (SPIHT) algorithm for entropy coding. Experimentally, with 4 descriptions, the new coder outperforms previous reports at any loss rate.