An image size unconstrained ownership identification scheme for gray-level and color ownership statements based on sampling methods

淡江大學機構典藏 > 商管學院 > 資訊管理學系暨研究所 > 期刊論文 > Item 987654321/21083

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题名:	An image size unconstrained ownership identification scheme for gray-level and color ownership statements based on sampling methods
作者:	Hsu, C. S.;侯永昌;Hou, Young-chang
贡献者:	淡江大學資訊管理學系
关键词:	Copyright protection;Digital watermarking;Ownership identification;Sampling distribution
日期:	2006-08-01
上传时间:	2009-11-30 13:13:17 (UTC+8)
出版者:	Elsevier
摘要:	This paper describes an ownership identification method with gray-level or color ownership statements. The proposed scheme uses the theories and properties of sampling distribution of means to achieve the requirements of robustness and security. Besides, the sampling method also provides that the ownership statements can be of any size regardless of the size of the original image. Since our method does not really insert the ownership statements into the host image, the original image will not be altered and the rightful ownership can be identified without resorting to the original image. Moreover, our method also allows plural ownership statements to be registered for a single host image without causing any damage to other hidden ownership statements. Finally, experimental results will show the robustness of our scheme for gray-level and color ownership statements against several common attacks.
關聯:	Journal of Systems and Software 79(8), pp.1130-1140
DOI:	10.1016/j.jss.2005.11.577
显示于类别:	[資訊管理學系暨研究所] 期刊論文

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