A new method of classification of sub-image blocks for digital image compression purposes using neural network is proposed. Two different classification algorithms are used to show their greater effectiveness than the conventional classification techniques. Simulation results are presented which demonstrate the effectiveness of the new technique.
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Newaz M. S. RAHIM, Takashi YAHAGI, "Image Compression by New Sub-Image Block Classification Techniques Using Neural Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 10, pp. 2040-2043, October 2000, doi: .
Abstract: A new method of classification of sub-image blocks for digital image compression purposes using neural network is proposed. Two different classification algorithms are used to show their greater effectiveness than the conventional classification techniques. Simulation results are presented which demonstrate the effectiveness of the new technique.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_10_2040/_p
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@ARTICLE{e83-a_10_2040,
author={Newaz M. S. RAHIM, Takashi YAHAGI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Image Compression by New Sub-Image Block Classification Techniques Using Neural Networks},
year={2000},
volume={E83-A},
number={10},
pages={2040-2043},
abstract={A new method of classification of sub-image blocks for digital image compression purposes using neural network is proposed. Two different classification algorithms are used to show their greater effectiveness than the conventional classification techniques. Simulation results are presented which demonstrate the effectiveness of the new technique.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Image Compression by New Sub-Image Block Classification Techniques Using Neural Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2040
EP - 2043
AU - Newaz M. S. RAHIM
AU - Takashi YAHAGI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2000
AB - A new method of classification of sub-image blocks for digital image compression purposes using neural network is proposed. Two different classification algorithms are used to show their greater effectiveness than the conventional classification techniques. Simulation results are presented which demonstrate the effectiveness of the new technique.
ER -