Title :
Efficient image and channel coding for wireless packet networks
Author :
Sherwood, Greg ; Tian, Xiaodong ; Zeger, Kenneth
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
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.
Keywords :
channel coding; data compression; entropy codes; image coding; packet radio networks; quantisation (signal); transform coding; trees (mathematics); wavelet transforms; MDSQ; SPIHT algorithm; channel conditions; data partitioning; efficient channel coding; efficient image coding; entropy coding; error resiliency; high performance wavelet image coder; loss rate; multiple description quantization; packet loss channels; set-partitioning-in-hierarchical-trees; two-channel multiple description scalar quantizer; wireless packet networks; Channel coding; Costs; Decoding; Degradation; Entropy coding; Forward error correction; Image coding; Multidimensional systems; Quantization; Redundancy;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899245
