By Topic

Three-Description Image Coding Using Optimal Dead-Zone Lattice Vector Quantization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yuanyuan Xu ; Beijing Jiaotong Univ., Beijing ; Yao Zhao

Multiple description coding is an effective way to transmit images over unreliable network or multiple channels. In this paper, a three-description image coding scheme is proposed, involving an optimal index assignment to obtain a mapping table that can reduce side distortion and dead-zone lattice vector quantization to quantize different coefficients more efficiently. The aim is to provide more robustness and present a good reconstructed image quality with bit rate as low as possible for unreliable network. The simulation results of standard image show that with consideration of wavelet coefficients characteristic the proposed scheme can reduce side distortion and reduce expected distortion of the system at high loss rate and compression efficiency.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on  (Volume:1 )

Date of Conference:

26-28 Nov. 2007