• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Zhang, Nan (Zhang, Nan.) (Scholars:张楠) | Lu, Yan (Lu, Yan.) | Wu, Feng (Wu, Feng.) | Yin, Bao-Cai (Yin, Bao-Cai.) (Scholars:尹宝才)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In this paper, a new multiple description image coding scheme based on directional lifting wavelet transform is proposed, which can avoid the serious quality degradation of compressed images in the Internet or wireless environment due to the packet error or packet loss. The basic idea is to divide an image into two descriptions with quincunx down-sampling. To tackle the problem of low coding efficiency in the traditional spatial domain multiple description image coding techniques, we propose a directional lifting technique to extensively exploit the correlations among neighboring pixels, in which the lifting directions are selected and organized based on the quad-tree partition. A novel interpolation scheme is employed in the side decoder to reconstruct one description with full resolution. The data fusion algorithm is employed in the central decoder to reconstruct the whole image, which can further improve the quality of the reconstructed image.

Keyword:

Data fusion Wavelet transforms Packet loss Interpolation Image coding Internet

Author Community:

  • [ 1 ] [Zhang, Nan]Multimedia and Intelligent Software Technology, Beijing Municipal Key Laboratory, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Lu, Yan]Microsoft Research Asia, Beijing 100080, China
  • [ 3 ] [Wu, Feng]Microsoft Research Asia, Beijing 100080, China
  • [ 4 ] [Yin, Bao-Cai]Multimedia and Intelligent Software Technology, Beijing Municipal Key Laboratory, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address:

Show more details

Related Keywords:

Source :

Acta Automatica Sinica

ISSN: 0254-4156

Year: 2007

Issue: 6

Volume: 33

Page: 567-576

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

Online/Total:679/10557909
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.