Genetic watermaking based on transform-domain techniques
| dc.citation.epage | 565 | en_US |
| dc.citation.issue | 3 | en_US |
| dc.citation.spage | 555 | en_US |
| dc.citation.volume | 37 | en_US |
| dc.citation.woscount | 156 | |
| dc.contributor.author | Shieh, CS | en_US |
| dc.contributor.author | Huang, HC | en_US |
| dc.contributor.author | Wang, FH | en_US |
| dc.contributor.author | Pan, JS | en_US |
| dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
| dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
| dc.date.accessioned | 2014-12-08T15:39:31Z | |
| dc.date.available | 2014-12-08T15:39:31Z | |
| dc.date.issued | 2004-03-01 | en_US |
| dc.description.abstract | An innovative watermarking scheme based on genetic algorithms (GA) in the transform domain is proposed. It is robust against watermarking attacks, which are commonly employed in the literature. In addition, the watermarked image quality is also considered. In this paper, we employ GA for optimizing both the fundamentally conflicting requirements. Watermarking with GA is easy for implementation. We also examine the effectiveness of our scheme by checking the fitness function in GA, which includes both factors related to robustness and invisibility. Simulation results also show both the robustness under attacks, and the improvement in watermarked image quality with GA. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.patcog.2003.07.003 | en_US |
| dc.identifier.issn | 0031-3203 | en_US |
| dc.identifier.journal | PATTERN RECOGNITION | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.patcog.2003.07.003 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/26983 | |
| dc.identifier.wosnumber | WOS:000188536200014 | |
| dc.language.iso | en_US | en_US |
| dc.subject | digital waten-narking | en_US |
| dc.subject | genetic algorithm (GA) | en_US |
| dc.subject | discrete cosine transform (DCT) | en_US |
| dc.subject | peak signal-to-noise ratio (PSNR) | en_US |
| dc.subject | normalized cross correlation (NC) | en_US |
| dc.subject | fitness function | en_US |
| dc.title | Genetic watermaking based on transform-domain techniques | en_US |
| dc.type | Article | en_US |