Efficient Image and Channel Coding for Wireless Packet Networks

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-HierarchicalTrees (SPIHT) algorithm for entropy coding. Experimentally, with descriptions, the new coder outperforms previous reports at any loss rate.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: P. Greg Sherwood, Xiaodong Tian, Kenneth Zeger
• Keywords: Entropy Coding, ICIP 2000, Image Processing, Two-channel Multiple Description, Wavelet Image Coder