Evolutionary computation approaches to halftoning algorithm

Hideo Saito, Naoki Kobayashi

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages787-791
Number of pages5
Publication statusPublished - 1994 Dec 1
EventProceedings of the 1st IEEE Conference on Evolutionary Computation. Part 1 (of 2) - Orlando, FL, USA
Duration: 1994 Jun 271994 Jun 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

  • Engineering(all)

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  • Cite this

    Saito, H., & Kobayashi, N. (1994). Evolutionary computation approaches to halftoning algorithm. 787-791. Paper presented at Proceedings of the 1st IEEE Conference on Evolutionary Computation. Part 1 (of 2), Orlando, FL, USA, .