A zerotree image-coding scheme is introduced that effectively exploits the inter-scale self-similarities found in the octave decomposition by a wavelet transform. A zerotree is useful for efficiently coding wavelet coefficients; its efficiency was proved by Shapiro's EZW. In the EZW coder, wavelet coefficients are symbolized, then entropy-coded for further compression. In this paper, we analyze the symbols produced by the EZW coder and discuss the entropy for a symbol. We modify the procedure used for symbol-stream generation to produce lower entropy. First, we modify the fixed relation between a parent and children used in the EZW coder to raise the probability that a significant parent has significant children. The modified relation is flexibly modified again based on the observation that a significant coefficient is more likely to have significant coefficients in its neighborhood. The three relations are compared in terms of the number of symbols they produce.
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Sanghyun JOO, Hisakazu KIKUCHI, Shigenobu SASAKI, Jaeho SHIN, "A New Image Coding Technique with Low Entropy Using a Flexible Zerotree" in IEICE TRANSACTIONS on Communications,
vol. E81-B, no. 12, pp. 2528-2535, December 1998, doi: .
Abstract: A zerotree image-coding scheme is introduced that effectively exploits the inter-scale self-similarities found in the octave decomposition by a wavelet transform. A zerotree is useful for efficiently coding wavelet coefficients; its efficiency was proved by Shapiro's EZW. In the EZW coder, wavelet coefficients are symbolized, then entropy-coded for further compression. In this paper, we analyze the symbols produced by the EZW coder and discuss the entropy for a symbol. We modify the procedure used for symbol-stream generation to produce lower entropy. First, we modify the fixed relation between a parent and children used in the EZW coder to raise the probability that a significant parent has significant children. The modified relation is flexibly modified again based on the observation that a significant coefficient is more likely to have significant coefficients in its neighborhood. The three relations are compared in terms of the number of symbols they produce.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e81-b_12_2528/_p
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@ARTICLE{e81-b_12_2528,
author={Sanghyun JOO, Hisakazu KIKUCHI, Shigenobu SASAKI, Jaeho SHIN, },
journal={IEICE TRANSACTIONS on Communications},
title={A New Image Coding Technique with Low Entropy Using a Flexible Zerotree},
year={1998},
volume={E81-B},
number={12},
pages={2528-2535},
abstract={A zerotree image-coding scheme is introduced that effectively exploits the inter-scale self-similarities found in the octave decomposition by a wavelet transform. A zerotree is useful for efficiently coding wavelet coefficients; its efficiency was proved by Shapiro's EZW. In the EZW coder, wavelet coefficients are symbolized, then entropy-coded for further compression. In this paper, we analyze the symbols produced by the EZW coder and discuss the entropy for a symbol. We modify the procedure used for symbol-stream generation to produce lower entropy. First, we modify the fixed relation between a parent and children used in the EZW coder to raise the probability that a significant parent has significant children. The modified relation is flexibly modified again based on the observation that a significant coefficient is more likely to have significant coefficients in its neighborhood. The three relations are compared in terms of the number of symbols they produce.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - A New Image Coding Technique with Low Entropy Using a Flexible Zerotree
T2 - IEICE TRANSACTIONS on Communications
SP - 2528
EP - 2535
AU - Sanghyun JOO
AU - Hisakazu KIKUCHI
AU - Shigenobu SASAKI
AU - Jaeho SHIN
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E81-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 1998
AB - A zerotree image-coding scheme is introduced that effectively exploits the inter-scale self-similarities found in the octave decomposition by a wavelet transform. A zerotree is useful for efficiently coding wavelet coefficients; its efficiency was proved by Shapiro's EZW. In the EZW coder, wavelet coefficients are symbolized, then entropy-coded for further compression. In this paper, we analyze the symbols produced by the EZW coder and discuss the entropy for a symbol. We modify the procedure used for symbol-stream generation to produce lower entropy. First, we modify the fixed relation between a parent and children used in the EZW coder to raise the probability that a significant parent has significant children. The modified relation is flexibly modified again based on the observation that a significant coefficient is more likely to have significant coefficients in its neighborhood. The three relations are compared in terms of the number of symbols they produce.
ER -