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Author:

Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才) | Zhang, Yang (Zhang, Yang.) | Shi, Yunhui (Shi, Yunhui.) (Scholars:施云惠) | Kong, Dehui (Kong, Dehui.) (Scholars:孔德慧)

Indexed by:

EI Scopus

Abstract:

In this paper, an improved scheme for multiple description image coding with quincunx segmentation is proposed. For each description, this scheme processes one of the quincunx-subsampled images as the base layer information and the prediction error for the other quincunx-subsampled image as the enhancement layer information, based on multiple description layered coding. In addition, an improved interpolation scheme for quincunx-subsampled images is employed in the interpolation prediction of coder and decoder to predict the other quincunx-subsampled image. Experiments show that preserving the central rate-distortion performance basically; this improved scheme can achieve better side rate-distortion performance than the original scheme, especially at moderate or high bit rate. ©2008 The Institution of Engineering and Technology.

Keyword:

Image coding Electric distortion Forecasting Image segmentation Signal distortion Interpolation Image enhancement

Author Community:

  • [ 1 ] [Yin, Baocai]Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Zhang, Yang]Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Shi, Yunhui]Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Kong, Dehui]Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China

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Source :

Year: 2008

Issue: 543 CP

Page: 783-788

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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