DocumentCode :
1656634
Title :
A wavelet-based multiple-description coding combining pairwise correlating transform with quincunx sub-sampling
Author :
Lu, Tailong ; Shi, Yunhui ; Kong, Dehui ; Yin, Baocai
Author_Institution :
Beijing Key Lab. of Multimedia & Intell. Software Technol., Beijing Univ. of Technol., Beijing
fYear :
2008
Firstpage :
1223
Lastpage :
1226
Abstract :
This paper proposes a novel and efficient two-description image coding scheme in the wavelet domain. Here, each description includes one basic description produced by pairwise correlating transform (PCT) and one enhanced description formed by quincunx sub-sampling. First, we partition the low-frequency wavelet coefficients into two groups. Then the PCT was applied between the two groups to generate two new correlated groups as two basic descriptions, which are coded and transmitted through two separate channels. Second, we can get two enhanced descriptions from the high-frequency wavelet coefficients of the highest-level decomposition by quincunx sub-sampling. And the Wavelet Domain Interpolation for tree Reconstruction (WDIR) is used to conceal coefficients loss in Wavelet-Trees when one enhanced description lost during transmission. Experimental results demonstrate that the proposed MDC scheme can achieve good coding performance.
Keywords :
image coding; image enhancement; image reconstruction; interpolation; trees (mathematics); wavelet transforms; high-frequency wavelet coefficients; highest-level decomposition; pairwise correlating transform; quincunx sub-sampling; tree reconstruction; two-description image coding scheme; wavelet domain interpolation; wavelet transform; wavelet-based multiple-description coding; Computer science; Educational institutions; Image coding; Image reconstruction; Interpolation; Laboratories; Propagation losses; Wavelet coefficients; Wavelet domain; Wavelet transforms; Pairwise correlating transform; multiple description coding; quincunx sub-sampling; spatial orientation tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697351
Filename :
4697351
Link To Document :
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