Access Restriction

Author Behnamfar, F. ♦ Alajaji, F. ♦ Linder, T.
Sponsorship Brandeis Univ. ♦ IEEE Comput. Soc
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2002
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Additive noise ♦ Image communication ♦ Chromium ♦ Computed tomography ♦ Data compression
Abstract A progressive method for transmission of images over a bursty noise channel is presented. It is based on discrete wavelet transform (DWT) coding and channel-optimized scalar quantization. The main advantage of the proposed system is that it exploits the channel memory and hence has superior performance over a similar scheme designed for the equivalent memoryless channel through the use of channel interleaving. In fact, the performance of the proposed system improves as the noise becomes more correlated, at a fixed bit error rate. Comparisons are made with other alternatives which employ independent source and channel coding over the fully interleaved channel at various bit rates and bit error rates. It is shown that the proposed method outperforms these substantially more complex systems for the whole range of considered bit rates and for a wide range of channel conditions.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Queen's Univ., Kingston, Ont., Canada (Behnamfar, F.; Alajaji, F.; Linder, T.)
ISBN 0769514774
ISSN 10680314
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2002-04-02
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 426.89 kB
Page Count 10
Starting Page 272
Ending Page 281

Source: IEEE Xplore Digital Library