Directional lifting-based wavelet transform for multiple description image coding

Authors:
Baocai Yin;Xin Li;Yunhui Shi;Feizhou Zhang;Nan Zhang
Affiliations:
Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China;Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China and Institute of Remote Sensing a ...;Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China;Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China;Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
Venue:
Image Communication
Year:
2008

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Abstract

In this paper, we address the problem of image transmission over unreliable networks, such as the Internet, where packet losses occur. The most recent literature indicates that multiple description (MD) is a promising coding approach to handle this issue. The traditional spatial domain MD image coding techniques usually result in the very low coding efficiency. This paper proposes a new architecture for MD image coding, which is based on directional wavelet transform that removes redundancy among spatial and wavelet domain. In addition, a novel interpolation method using reproducing kernel filter (RKF) reconstructs one description with full resolution. The results show that the proposed technique is far better than other existing method.