WCSE

Multiple Description Image Coding Using Extended X-tree

Abstract— This paper presents a novel multiple description image coding scheme called extended xtree based multiple description image coding. First, the 2D dual-tree discrete wavelet transform (DDWT) is exerted on the original image to produce 2 wavelet trees. A noise shaping algorithm is used to reduce the redundancies of the resulted wavelet coefficients produced by DDWT, forming the primary parts of two descriptions. In order to enhance the quality of the side reconstruction, a side noise shaping algorithm is then used to produce the supplementary information of side decoding. The primary information from one tree and supplementary information from the other are grouped to form a description. To exploit the strong correlation between two wavelet trees resulted from DDWT, an extended x-tree coding scheme is used to jointly encode two wavelet trees to improve the coding efficiency. Two descriptions are dispatched through separate channels. Since each description includes critical information of the picture, in case that one of the descriptions is lost, the reconstructed image can still keep acceptable fidelity. Simulation results have demonstrated the superior performance and error resilient ability of the proposed algorithm.

Index Terms— multiple description coding; dual-tree discrete wavelet transform; x-tree image coding.

Li Li, Canhui Cai, Jing Chen, Huanqiang Zeng
School of Information Science and Engineering, Huaqiao University, CHINA

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Cite: Li Li, Canhui Cai, Jing Chen, Huanqiang Zeng, "Multiple Description Image Coding Using Extended X-tree," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 413-418, Moscow, Russia, April 15-17, 2015.