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首页> 外文期刊>Multimedia Tools and Applications >Artificial bee colony optimized robust-reversible image watermarking
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Artificial bee colony optimized robust-reversible image watermarking

机译:人工蜂群优化的鲁棒可逆图像水印

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摘要

The ownership verification of digital images is possible by the help of image watermarking. Watermarking make the image secure towards unlawful use; but at the same time, it causes some information loss too. Medical and defense are few fields, where even a small change in data can be very problematic. So there is need of reliable and lossless watermarking schemes. The present study is focused on the development of lossless watermarking method that can fulfill five basic requirements (robustness, reversibility, invisibility, security and capacity) of ideal lossless watermarking scheme maximally. Arnold transformed watermark is embedded into the host to restrict any unauthorized access of watermark even after extraction. Slantlet transformed coefficients are known to be quite robust towards image processing attacks; so block wise Slantlet transform is employed to resist the maximum attacks and to ensure a decent capacity. Mean values of transformed coefficients are used for embedding to increase the robustness and imperceptibility. The spatial domain overflow/underflow (due to embedding) is taken care by a post processing to satisfy the reversibility requirements. The embedding strength of watermarking is controlled with the help of artificial bee colony (ABC) in order to get an optimal tradeoff between invisibility and robustness. The proposed scheme is applied to a range of images to show its applicability to different domains.
机译:借助图像水印可以对数字图像进行所有权验证。加水印可防止非法使用图片;但同时也会造成一些信息丢失。医疗和国防领域很少,即使是很小的数据变化也可能是非常成问题的。因此,需要可靠且无损的水印方案。本研究致力于无损水印方法的发展,该方法可以最大程度地满足理想无损水印方案的五个基本要求(鲁棒性,可逆性,不可见性,安全性和容量)。将Arnold转换后的水印嵌入到主机中,即使在提取后也可以限制对水印的任何未经授权的访问。众所周知,Slanlet变换系数对图像处理攻击非常健壮。因此采用块状Slantlet变换来抵抗最大的攻击并确保适当的容量。变换系数的平均值用于嵌入,以提高鲁棒性和不可感知性。后处理要注意空间域的上溢/下溢(由于嵌入),以满足可逆性要求。借助人工蜂群(ABC)来控制水印的嵌入强度,以便在隐身性和鲁棒性之间取得最佳平衡。所提出的方案被应用于一系列图像,以显示其对不同域的适用性。

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