Robust multiple description image coding over wireless networks based on wavelet tree coding, error resilient entropy coding, and error concealment

  • Authors:

  • Daewon Song;Lei Cao;Chang Wen Chen

  • Affiliations:

  • IPTV Team, Research Institute of Technology, LG Dacom, 34 Gajeong-Dong, Daejeon 303-350, Korea;Department of EE, University of Mississippi, University, MS 38677, USA;University at Buffalo, The State University of New York, 201 Bell Hall Box 602000, Buffalo, NY 14260-2000, USA

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose an integrated robust multiple description coding (MDC) scheme for compressed still images over error-prone channels with both packet loss and random bit errors. Multiple descriptions are first generated independently by using multiple description scalar quantizer (MDSQ). To achieve an excellent error resilient capability for each description, multiple bitstreams are then generated based on wavelet trees along the spatial orientations. The spatial orientation trees in the wavelet domain are individually encoded using SPIHT. Error propagation is thus limited within each bitstreams. However, synchronization words are usually needed to avoid error propagation across multiple independent bitstreams. In order to maintain high compression efficiency robust synchronization, we adopt error resilient entropy coding (EREC) to re-organize these variable-length bitstreams into fixed-length data slots before multiplexing and transmission. Therefore, the synchronization of the start of each bitstream can be automatically obtained at the receiver. Finally, to alleviate the devastating image degradation resulted from errors in the beginning of the bitstreams, we propose an error concealment technique to both constrain the EREC/MDC decoding and post-process the decoded wavelet coefficients. With analysis and experimental results, we have demonstrated how each of these components has contributed to the overall robustness of the proposed transmission of compressed images over wireless channels.