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2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06)
A Novel Image Compression Algorithm Based on Sixteen Most Lately Used Encoded Codewords
Pasadena, California, USA
December 18-December 20
ISBN: 0-7695-2745-0
ASCII Text
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Chin-Chen Chang, Yung-Chen Chang, Jau-Ji Shen, "A Novel Image Compression Algorithm Based on Sixteen Most Lately Used Encoded Codewords," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 545-548, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006.
 
 
BibTex
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@article{ 10.1109/IIH-MSP.2006.28,
author = {Chin-Chen Chang and Yung-Chen Chang and Jau-Ji Shen},
title = {A Novel Image Compression Algorithm Based on Sixteen Most Lately Used Encoded Codewords},
journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2745-0},
pages = {545-548},
doi = {http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.28},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
TI - A Novel Image Compression Algorithm Based on Sixteen Most Lately Used Encoded Codewords
SN - 0-7695-2745-0
SP545
EP548
A1 - Chin-Chen Chang,
A1 - Yung-Chen Chang,
A1 - Jau-Ji Shen,
PY - 2006
KW - null
VL - 0
JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
ER -
 
Chin-Chen Chang, Feng Chia University, Taiwan; National Chung Cheng University, Taiwan
Yung-Chen Chang, Feng Chia University, Taiwan; National Chung Cheng University, Taiwan
Jau-Ji Shen, National Chung Hsing University, Taiwan
The side-match vector quantization (SMVQ) technique has been widely used in various image compression and hiding techniques. It effectively decreases the bit rates of image with a great compressed quality. However, the prediction is not precise while the variation between the encoded block and its neighboring upper and left blocks is large. Due to the imprecision will cause derailment problem, to solve this problem, this paper proposed an EDPSMVQ scheme which is based on edge-directed prediction (EDP) to precisely predict the side-match pixels avoiding the derailment problem. The experimental results showed that the scheme achieves a high compression ratio with an acceptable image quality.
Citation:
Chin-Chen Chang, Yung-Chen Chang, Jau-Ji Shen, "A Novel Image Compression Algorithm Based on Sixteen Most Lately Used Encoded Codewords," iih-msp, pp.545-548, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006
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