An importance driven genetic algorithm for the halftoning process

Most evolutionary approaches to halftoning techniques have been concerned with the paramount goal of halftoning: achieving an accurate reproduction of local grayscale intensities while avoiding the introduction of artifacts. A secondary concern in halftoning has been the preservation of edges in the...

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Detalles Bibliográficos
Autores principales:	Guerrero, Roberto A., Leguizamón, Guillermo, Viano, Hugo
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2005
Materias:	Ciencias Informáticas halftoning limited resource rendering Algorithms Segmentation
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/23014
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-23014
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas halftoning limited resource rendering Algorithms Segmentation
spellingShingle	Ciencias Informáticas halftoning limited resource rendering Algorithms Segmentation Guerrero, Roberto A. Leguizamón, Guillermo Viano, Hugo An importance driven genetic algorithm for the halftoning process
topic_facet	Ciencias Informáticas halftoning limited resource rendering Algorithms Segmentation
description	Most evolutionary approaches to halftoning techniques have been concerned with the paramount goal of halftoning: achieving an accurate reproduction of local grayscale intensities while avoiding the introduction of artifacts. A secondary concern in halftoning has been the preservation of edges in the halftoned image. In this paper, we will introduce a new evolutionary approach through the use of an importance function. This approach has at least two main characteristics. First, it can produce results similar to many other halftoning techniques. Second, if the chosen importance function is accordingly changed, areas of the image with high variance can be highlighted.
format	Objeto de conferencia Objeto de conferencia
author	Guerrero, Roberto A. Leguizamón, Guillermo Viano, Hugo
author_facet	Guerrero, Roberto A. Leguizamón, Guillermo Viano, Hugo
author_sort	Guerrero, Roberto A.
title	An importance driven genetic algorithm for the halftoning process
title_short	An importance driven genetic algorithm for the halftoning process
title_full	An importance driven genetic algorithm for the halftoning process
title_fullStr	An importance driven genetic algorithm for the halftoning process
title_full_unstemmed	An importance driven genetic algorithm for the halftoning process
title_sort	importance driven genetic algorithm for the halftoning process
publishDate	2005
url	http://sedici.unlp.edu.ar/handle/10915/23014
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bdutipo_str	Repositorios
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An importance driven genetic algorithm for the halftoning process

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