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 language | English |
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| Pages | 787-791 |
| Number of pages | 5 |
| Publication status | Published - 1994 Dec 1 |
| Event | Proceedings of the 1st IEEE Conference on Evolutionary Computation. Part 1 (of 2) - Orlando, FL, USA Duration: 1994 Jun 27 → 1994 Jun 29 |
Other
| Other | Proceedings of the 1st IEEE Conference on Evolutionary Computation. Part 1 (of 2) |
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| City | Orlando, FL, USA |
| Period | 94/6/27 → 94/6/29 |
ASJC Scopus subject areas
- Engineering(all)