Multiple description coding with prediction compensation

  • Authors:

  • Guoqian Sun;Upul Samarawickrama;Jie Liang;Chao Tian;Chengjie Tu;Trac D. Tran

  • Affiliations:

  • Cisco Systems, Inc., Vancouver and Simon Fraser University, Burnaby, BC, Canada;Simon Fraser University, Burnaby, BC, Canada;Simon Fraser University, Burnaby, BC, Canada;AT&T Labs-Research, Florham Park, NJ;Microsoft Corporation, Redmond, WA;Electrical and Computer Engineering Department, The Johns Hopkins University, Baltimore, MD

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2009

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Abstract

A new multiple description coding paradigm is proposed by combining the time-domain lapped transform, block level source splitting, linear prediction, and prediction residual encoding. The method provides effective redundancy control and fully utilizes the source correlation. The joint optimization of all system components and the asymptotic performance analysis are presented. Image coding results demonstrate the superior performance of the proposed method, especially at low redundancies.