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Adaptive Steganography Scheme Using More Surrounding Pixels

机译:使用更多周围像素的自适应隐写术方案

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Information hiding has several branches. One is called as steganography. Steganography has a wide variety of techniques whereby a certain amount of secret information is embedded inside a medium. The medium format can be of any kind. However, the simplest file format is an 8-bit gray scale image. The original image is called a cover image. Likewise, once some secret bits are embedded, it is called stego-image. The most challenging issue is how capable a technique is to conceal the very existence of secret information in the stego-image. Steganographic techniques are evaluated in terms of imperceptibility and capacity. Imperceptibility means how visible secret information is to the human eyes in the stego-image. On the other hand, capacity means the maximum amount of secret information embedded. Conventional Least Significant Bit (LSB) insertion method is the basic concept for steganographic techniques. LSB method embeds secret bits in LSB(s) of the cover image. A pixel which carries a fraction of secret data is called a target pixel. The more surrounding pixels around a target pixel are utilized to find the most appropriate capacity value, the more precise capacity value is achieved. This paper proves that discovering the best capacity value brings about an improvement in terms of imperceptibility. Most of the steganographic techniques use either three or four adjacent pixels around a target pixel whereas the proposed technique is able to utilize at most all eight adjacent neighbors so that imperceptibility value grows bigger. The proposed method is called A-MSPU which stands for Adaptive More Surrounding Pixels Using.
机译:信息隐藏有几个分支机构。一个被称为隐写术。隐写术具有各种各样的技术,其中一定数量的秘密信息嵌入介质内。媒体格式可以是任何类型的。但是,最简单的文件格式是8位灰度刻度图像。原始图像称为封面图像。同样,一旦嵌入了一些秘密比特,它被称为stego图像。最具挑战性的问题是一种技术如何隐藏STEGO图像中的秘密信息的存在。在难以察觉和能力方面评估了书标技术。难以理解意味着可见的秘密信息是如何在stego图像中的人眼。另一方面,容量意味着嵌入的最大秘密信息量。传统最低有效位(LSB)插入方法是隐写技术的基本概念。 LSB方法将封面图像的LSB中的秘密位嵌入。携带一部分秘密数据的像素称为目标像素。目标像素周围的周围围绕的像素越多用于找到最合适的容量值,实现更精确的容量值。本文证明了发现最佳容量值带来了不可忽视的改善。大多数隐写技术使用目标像素周围的三个或四个相邻像素,而所提出的技术能够以大多数相邻的邻居利用,使得难以察觉的值变得更大。所提出的方法称为A-MSPU,其代表适应性更多的周围像素使用。

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