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Improved Image Coding Algorithm Based on Embedded Zerotree
Haier International Training Center, Qingdao, China July 30-August 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.69Eighth ACIS International Conference ...
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Liu Xuhong, Liu Fuheng, Kuang Guijuan, Yi Xiu, "Improved Image Coding Algorithm Based on Embedded Zerotree," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 2, pp. 189-192, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.69,
author = {Liu Xuhong and Liu Fuheng and Kuang Guijuan and Yi Xiu},
title = {Improved Image Coding Algorithm Based on Embedded Zerotree},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {2},
year = {2007},
isbn = {0-7695-2909-7},
pages = {189-192},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.69},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Improved Image Coding Algorithm Based on Embedded Zerotree
SN - 0-7695-2909-7
SP189
EP192
A1 - Liu Xuhong,
A1 - Liu Fuheng,
A1 - Kuang Guijuan,
A1 - Yi Xiu,
PY - 2007
KW - null
VL - 2
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Liu Xuhong, Beijing Institute of Machinery, China
Liu Fuheng, Laiyang Agriculture University, China
Kuang Guijuan, Laiyang Agriculture University, China
Yi Xiu, Shandong Cadre, China
This paper presents an improved embedded zerotree wavelet (EZW) coding algorithm. According to the characteristic of coefficients and human visual system (HVS), an attempt is made to improve Shapiro?s EZW algorithm. The improved algorithm pays more attention to the edge of one image because human visual system is sensitive to the distortion of image edge information. Experiments results show that the improved algorithm performs better than EZW in reconstruction image quality, especially in the case of low rate.
Citation:
Liu Xuhong, Liu Fuheng, Kuang Guijuan, Yi Xiu, "Improved Image Coding Algorithm Based on Embedded Zerotree," snpd, vol. 2, pp.189-192, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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