Selective Conditional Enhancement of Digital Color Halftone Images

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1. Verfasser: Mario E. Ramos
Format: Artículo científico
Sprache:en
Veröffentlicht: Instituto Politécnico Nacional 2007
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author Mario E. Ramos
author_facet Mario E. Ramos
contents Selective Conditional Enhancement of Digital Color Halftone Images Mario E. Ramos Edgardo M. Felipe Sergio Suarez Agustín F. Gutierrez Computación De halftoning Color enhancement Raster to vector conversion Scanned graphics enhancement This paper presents an approach for enhancing digital color images printed in halftoning. The method, which we call Selective Conditional Enhancement, has been applied with good results to enhance digital color images printed in halftone. Due to the repetitive nature of the process for image digitizing and the common structure of patterns used to create halftone in color images, it has been observed that the alterations of pixel colors, in general, are also repetitive. Based on the frequency of occurrence of pixels of a given color, and on the values of their Red-Green-Blue (RGB) components, we have defined eight heuristic rules. In principle, these rules define as valid those pixels having a high frequency of occurrence and as artifacts those with low frequency of occurrence. The color of less frequent artifacts is then changed to some color of any more frequent valid pixel. This approach, based also on user-defined essential colors, generates images that are notably enhanced. 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61509705 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.10
format Artículo científico
id redalyc_61509705
institution Redalyc
language en
publishDate 2007
publisher Instituto Politécnico Nacional
spellingShingle Selective Conditional Enhancement of Digital Color Halftone Images
Mario E. Ramos
Computación
De
halftoning
Color enhancement
Raster to vector conversion
Scanned graphics enhancement
Selective Conditional Enhancement of Digital Color Halftone Images Mario E. Ramos Edgardo M. Felipe Sergio Suarez Agustín F. Gutierrez Computación De halftoning Color enhancement Raster to vector conversion Scanned graphics enhancement This paper presents an approach for enhancing digital color images printed in halftoning. The method, which we call Selective Conditional Enhancement, has been applied with good results to enhance digital color images printed in halftone. Due to the repetitive nature of the process for image digitizing and the common structure of patterns used to create halftone in color images, it has been observed that the alterations of pixel colors, in general, are also repetitive. Based on the frequency of occurrence of pixels of a given color, and on the values of their Red-Green-Blue (RGB) components, we have defined eight heuristic rules. In principle, these rules define as valid those pixels having a high frequency of occurrence and as artifacts those with low frequency of occurrence. The color of less frequent artifacts is then changed to some color of any more frequent valid pixel. This approach, based also on user-defined essential colors, generates images that are notably enhanced. 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61509705 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.10
title Selective Conditional Enhancement of Digital Color Halftone Images
topic Computación
De
halftoning
Color enhancement
Raster to vector conversion
Scanned graphics enhancement
url https://www.redalyc.org/articulo.oa?id=61509705