Title :
Significant coefficient decomposition based stack X-tree multiple description coding
Author :
Cai, Canhui ; Chen, Jing ; Ding, Runtao
Author_Institution :
Inst. of Inf. Sci. & Technol., Huaqiao Univ., Fujian, China
Abstract :
A new multiple description coding approach is presented in this paper. In this approach, first each significant wavelet coefficient is decomposed into two coefficients. One is made from the bits in the odd positions, whereas, the other is made from the bits in the even positions. These two types of coefficients are then grouped into two sub-signals. Two descriptions of coded data are formed from these sub-signals and transmitted over different channels. To realize a balance multiple description coding, data from different sub-signals are knitted to produce two descriptions. Experimental results have shown that the performances of the proposed scheme are better than those of the polyphase transform and selective quantization one.
Keywords :
image coding; data coding; polyphase transform; selective quantization; stack X-tree multiple description coding; wavelet coefficient decomposition; Decoding; Image coding; Image reconstruction; Information retrieval; Information science; Information theory; Quantization; Rate-distortion; Robustness; Wavelet coefficients;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281080