The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Uma técnica de meio-tom de imagem que utiliza um AG simples provou ser eficaz, gerando imagens de meio-tom de dois níveis com qualidade superior às técnicas convencionais. Muitos dispositivos são projetados para lidar com mais de dois níveis de meio-tom e uma técnica de meio-tom multinível baseada em GA é desejável. Neste artigo estendemos a técnica de meio-tom de dois níveis para gerar imagens de meio-tom de vários níveis. Também introduzimos um GA melhorado (GA-SRM) na técnica proposta de meio-tom multinível. Resultados experimentais mostram que a técnica proposta pode efetivamente gerar imagens de meio-tom multinível de alta qualidade e que a inclusão do GA-SRM contribui substancialmente para reduzir o uso de memória e acelerar a geração de imagens.
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Tomoya UMEMURA, Hernan AGUIRRE, Kiyoshi TANAKA, "Multi-Level Image Halftoning Technique with Genetic Algorithms" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 8, pp. 1892-1897, August 2002, doi: .
Abstract: An image halftoning technique that uses a simple GA has proven to be effective generating bi-level halftone images with quality higher than conventional techniques. Many devices are designed to handle more than two halftone levels and a GA based multi-level halftoning technique is desirable. In this paper we extend the bi-level halftoning technique to generate multi-level halftone images. Also we introduce an improved GA (GA-SRM) into the proposed multi-level halftoning technique. Experimental results show that the proposed technique can effectively generate high quality multi-level halftone images and that the inclusion of GA-SRM substantially contributes reducing memory usage and accelerating image generation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_8_1892/_p
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@ARTICLE{e85-a_8_1892,
author={Tomoya UMEMURA, Hernan AGUIRRE, Kiyoshi TANAKA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multi-Level Image Halftoning Technique with Genetic Algorithms},
year={2002},
volume={E85-A},
number={8},
pages={1892-1897},
abstract={An image halftoning technique that uses a simple GA has proven to be effective generating bi-level halftone images with quality higher than conventional techniques. Many devices are designed to handle more than two halftone levels and a GA based multi-level halftoning technique is desirable. In this paper we extend the bi-level halftoning technique to generate multi-level halftone images. Also we introduce an improved GA (GA-SRM) into the proposed multi-level halftoning technique. Experimental results show that the proposed technique can effectively generate high quality multi-level halftone images and that the inclusion of GA-SRM substantially contributes reducing memory usage and accelerating image generation.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Multi-Level Image Halftoning Technique with Genetic Algorithms
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1892
EP - 1897
AU - Tomoya UMEMURA
AU - Hernan AGUIRRE
AU - Kiyoshi TANAKA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2002
AB - An image halftoning technique that uses a simple GA has proven to be effective generating bi-level halftone images with quality higher than conventional techniques. Many devices are designed to handle more than two halftone levels and a GA based multi-level halftoning technique is desirable. In this paper we extend the bi-level halftoning technique to generate multi-level halftone images. Also we introduce an improved GA (GA-SRM) into the proposed multi-level halftoning technique. Experimental results show that the proposed technique can effectively generate high quality multi-level halftone images and that the inclusion of GA-SRM substantially contributes reducing memory usage and accelerating image generation.
ER -