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Data Compression Conference (DCC '04)
Multi-resolution Source Coding Using Entropy Constrained Dithered Scalar Quantization
Snowbird, Utah
March 23-March 25
ISBN: 0-7695-2082-0
ASCII Text
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Qian Zhao, Hanying Feng, Michelle Effros, "Multi-resolution Source Coding Using Entropy Constrained Dithered Scalar Quantization," Data Compression Conference, pp. 22, Data Compression Conference (DCC '04), 2004.
 
 
BibTex
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@article{ 10.1109/DCC.2004.1281447,
author = {Qian Zhao and Hanying Feng and Michelle Effros},
title = {Multi-resolution Source Coding Using Entropy Constrained Dithered Scalar Quantization},
journal ={Data Compression Conference},
volume = {0},
year = {2004},
issn = {1068-0314},
pages = {22},
doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2004.1281447},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Compression Conference
TI - Multi-resolution Source Coding Using Entropy Constrained Dithered Scalar Quantization
SN - 1068-0314
SP
EP
A1 - Qian Zhao,
A1 - Hanying Feng,
A1 - Michelle Effros,
PY - 2004
KW - null
VL - 0
JA - Data Compression Conference
ER -
 
Qian Zhao, Oracle Corp., Redwood City, CA
Hanying Feng, Stanford University, CA
Michelle Effros, California Institute of Technology, Pasadena, CA
In this paper, we build multi-resolution source codes using entropy constrained dithered scalar quantizers. We demonstrate that for n-dimensional random vectors, dithering followed by uniform scalar quantization and then by entropy coding achieves performance close to the n-dimensional optimum for a multi-resolution source code. Based on this result, we propose a practical code design algorithm and compare its performance with that of the Set Partitioning in Hierarchical Trees (SPIHT) algorithm on natural images.
Citation:
Qian Zhao, Hanying Feng, Michelle Effros, "Multi-resolution Source Coding Using Entropy Constrained Dithered Scalar Quantization," dcc, pp.22, Data Compression Conference (DCC '04), 2004
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