A Novel Multiple-Description Image Coding on Wavelet

  • Authors:

  • Yunhui Shi;Baocai Yin;Dehui Kong;Tailong Lu

  • Affiliations:

  • Department of Computer Science and Technology, Beijing University of Technology, Beijing, China;Department of Computer Science and Technology, Beijing University of Technology, Beijing, China;Department of Computer Science and Technology, Beijing University of Technology, Beijing, China;Department of Computer Science and Technology, Beijing University of Technology, Beijing, China

  • Venue:
  • PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
  • Year:
  • 2009

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Abstract

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.