Evolutionary computation approaches to halftoning algorithm

Hideo Saito, Naoki Kobayashi

研究成果: Paper査読

3 被引用数 (Scopus)

抄録

In this paper, evolutionary computation approaches to halftoning algorithm is described. The halftoning technique is required for representing gray-tone images on bilevel displays or printers. Using the halftoning techniques, gray-tone images are transformed into binary representations. In general, visually pleasing halftone images must have high spatial and gray-level resolution. In this study, the halftoning algorithm is regarded as a optimization problem that is to search for the visually pleasing placement of black pixel in the halftoning image. For solving the problem, a Simple GA (SGA) and a Single Populated GA (SPGA) are applied to the halftoning algorithm. Some halftone images obtained by the evolutionary computation are shown, and their performances are demonstrated.

本文言語English
ページ787-791
ページ数5
出版ステータスPublished - 1994 12 1
イベントProceedings of the 1st IEEE Conference on Evolutionary Computation. Part 1 (of 2) - Orlando, FL, USA
継続期間: 1994 6 271994 6 29

Other

OtherProceedings of the 1st IEEE Conference on Evolutionary Computation. Part 1 (of 2)
CityOrlando, FL, USA
Period94/6/2794/6/29

ASJC Scopus subject areas

  • 工学(全般)

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