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16th International Conference on Pattern Recognition (ICPR'02) - Volume 2
Wavelet-based Image Coding Using Fuzzy Inference and Adaptive Quantization
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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Ming-Shing Hsieh, Din-Chang Tseng, "Wavelet-based Image Coding Using Fuzzy Inference and Adaptive Quantization," Pattern Recognition, International Conference on, vol. 2, pp. 20265, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1048289,
author = {Ming-Shing Hsieh and Din-Chang Tseng},
title = {Wavelet-based Image Coding Using Fuzzy Inference and Adaptive Quantization},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2002},
issn = {1051-4651},
pages = {20265},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048289},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Wavelet-based Image Coding Using Fuzzy Inference and Adaptive Quantization
SN - 1051-4651
SP
EP
A1 - Ming-Shing Hsieh,
A1 - Din-Chang Tseng,
PY - 2002
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Ming-Shing Hsieh, National Central University and Aletheia University
Din-Chang Tseng, National Central University
A new class of image compression algorithms has been developed for exploiting dependencies between the hierarchical wavelet coefficients using zerotrees. This paper deals with a fuzzy inference filter for image entropy coding by choosing significant coefficients and zerotree roots in the higher frequency wavelet subbands. Moreover, an adaptive quantization is proposed to improve the coding performance. Evaluating with the popular images, the proposed approach is comparable or superior to most state-of-the-art coders.
Citation:
Ming-Shing Hsieh, Din-Chang Tseng, "Wavelet-based Image Coding Using Fuzzy Inference and Adaptive Quantization," icpr, vol. 2, pp.20265, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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