By Topic

Joint Source-Channel Coding for JPEG Compressed Images over Noisy Channel

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

3 Author(s)
Chou-Chen Wang ; Dept. of Electron. Eng., I-Shou Univ., Kaohsiung ; Tung-Yuen Huang ; Chung-You Yang

In this paper, we develop an approach toward joint source-channel coding (JSCC) for JPEG compressed image transmission. First, a data partition (DP) technique is employed to divide the JPEG bitstream into three groups, namely, Huffman codes, DC coefficients and AC coefficients. Second, we combine the rate-compatible punctured convolutional (RCPC) codes to protect the coded data according to channel conditions. The proposed scheme utilizes universal rate distortion characteristics, which are obtained experimentally and show the sensitivity of the source encoder and decoder to channel errors. Simulation results demonstrate a significant improvement in subjective and objective quality of the received images in an error-prone environment.

Published in:

Image and Signal Processing, 2008. CISP '08. Congress on  (Volume:1 )

Date of Conference:

27-30 May 2008