A Novel Multiple-Description Image Coding on Wavelet
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- 作者：Yunhui Shi ; Baocai Yin ; Dehui Kong ; Tailong Lu
- 关键词：Multiple description coding ; pairwise correlating transform ; adaptive down ; sampling ; Wavelet Domain Interpolation for tree Reconstruction
- 刊名：Lecture Notes in Computer Science
- 出版年：2009
- 出版时间：2009
- 年：2009
- 卷：5879
- 期：1
- 页码：1257-1262
- 全文大小：283.3 KB
文摘
Multiple description coding (MDC) is a way of trading off coding gain with robustness to channel errors. This paper presents a novel and efficient two-description image coding scheme in wavelet domain. Here, the two-layered MDC method is adopted based on the feature of wavelet coefficients. Firstly, the low-frequency wavelet coefficients are partitioned into two new correlated groups as two basic descriptions with pairwise correlating transform (PCT). Secondly, we can get two enhanced descriptions from the high-frequency wavelet subbands of the highest-level decomposition by adaptive down-sampling. Finally, four template operators are adopted to detect the texture direction of high-frequency subbands, and we use the Wavelet Domain Interpolation for tree Reconstruction (WDIR) to conceal coefficients loss in Wavelet-Trees with the texture direction when one enhanced description lost during transmission. Experimental results demonstrate that the proposed MDC scheme can achieve good coding performance.