Directional lifting-based wavelet transform for multiple description image coding with quincunx segmentation

  • Authors:

  • Nan Zhang;Yan Lu;Feng Wu;Baocai Yin

  • Affiliations:

  • Multimedia and Intelligent Software Technology, Beijing Municipal Key Laboratory, College of Computer Science Technology, Beijing University of Technology, Beijing, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China;Multimedia and Intelligent Software Technology, Beijing Municipal Key Laboratory, College of Computer Science Technology, Beijing University of Technology, Beijing, China

  • Venue:
  • PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
  • Year:
  • 2005

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Abstract

In this paper, a new multiple description image coding scheme using directional lifting transform is proposed. The basic idea is to divide an image into two descriptions with quincunx segmentation. The traditional spatial domain multiple description image coding techniques usually result in the very low coding efficiency. To tackle this problem, we propose a directional lifting technique to extensively exploit the correlations among neighboring pixels. The lifting directions are selected and organized based on the quadtree partition. In addition, a novel interpolation scheme is employed in the side decoder to reconstruct one description with full resolution. As for the central decoder operated on the two descriptions, data fusion algorithm is employed to reconstruct the whole image. Thus, the visual quality from the central decoder can be further improved.