By Topic

Multiple Description Wavelet Based Image Coding with Classification

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)
Chunyu Lin ; Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China ; Yao Zhao

In this paper, a multiple description image coding scheme with classified method is presented, in which the wavelet coefficients in each class can be processed separately according to its own source distribution. All the classes will be divided into two larger classes again. One of them is quantized by MDSQ and the other is sub sampled by quad tree and quantized subsequently. The two parts are combined to form two descriptions. It is the number of class quantized by the above two ways that determines the tradeoff between side and central performance. The whole scheme is applied to natural images and simulation demonstrates that the system outperforms other related works. Most important of all, by employing the classified scheme, the central performance can get improved even when the side performance is close to its corresponding single description one.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on

Date of Conference:

15-17 Oct. 2010