In this letter, a new scheme of designing two-level minimum mean square error quantizer for image coding is proposed. Genetic algorithm is applied to achieve this goal. Comparisons of results with various methods have verified, the proposed method can reach nearly optimal quantization with only less iterations.
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Wen-Jan CHEN, Shen-Chuan TAI, Po-Jen CHENG, "Two-Level Quantizer Design Using Genetic Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 2, pp. 403-406, February 1999, doi: .
Abstract: In this letter, a new scheme of designing two-level minimum mean square error quantizer for image coding is proposed. Genetic algorithm is applied to achieve this goal. Comparisons of results with various methods have verified, the proposed method can reach nearly optimal quantization with only less iterations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_2_403/_p
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@ARTICLE{e82-a_2_403,
author={Wen-Jan CHEN, Shen-Chuan TAI, Po-Jen CHENG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Two-Level Quantizer Design Using Genetic Algorithm},
year={1999},
volume={E82-A},
number={2},
pages={403-406},
abstract={In this letter, a new scheme of designing two-level minimum mean square error quantizer for image coding is proposed. Genetic algorithm is applied to achieve this goal. Comparisons of results with various methods have verified, the proposed method can reach nearly optimal quantization with only less iterations.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - Two-Level Quantizer Design Using Genetic Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 403
EP - 406
AU - Wen-Jan CHEN
AU - Shen-Chuan TAI
AU - Po-Jen CHENG
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 1999
AB - In this letter, a new scheme of designing two-level minimum mean square error quantizer for image coding is proposed. Genetic algorithm is applied to achieve this goal. Comparisons of results with various methods have verified, the proposed method can reach nearly optimal quantization with only less iterations.
ER -