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 |
|---|---|
| Title of host publication | IEEE Conference on Evolutionary Computation - Proceedings |
| Publisher | IEEE |
| Pages | 787-791 |
| Number of pages | 5 |
| Edition | 2/- |
| Publication status | Published - 1994 |
| 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) |
|---|---|
| City | Orlando, FL, USA |
| Period | 94/6/27 → 94/6/29 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Evolutionary computation approaches to halftoning algorithm. / Saito, Hideo; Kobayashi, Naoki.
IEEE Conference on Evolutionary Computation - Proceedings. 2/-. ed. IEEE, 1994. p. 787-791.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evolutionary computation approaches to halftoning algorithm
AU - Saito, Hideo
AU - Kobayashi, Naoki
PY - 1994
Y1 - 1994
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0028604807&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028604807&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0028604807
SP - 787
EP - 791
BT - IEEE Conference on Evolutionary Computation - Proceedings
PB - IEEE
ER -