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.
|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 27 → 1994 6 29
|Other||Proceedings of the 1st IEEE Conference on Evolutionary Computation. Part 1 (of 2)|
|City||Orlando, FL, USA|
|Period||94/6/27 → 94/6/29|
ASJC Scopus subject areas