基于矩阵模式和LSB算法的RGB图像隐写新方法

Amirfarhad Nilizadeh, A. Nilchi
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引用次数: 18

摘要

本文提出了一种新的RGB图像隐写算法,该算法结合了矩阵模式(MP)和最低有效位(LSB)两种不同的隐写方法。这两种方法利用图像的空间域来隐藏秘密信息;然而,它们从根本上是不同的。MP方法是一种首先将“Cover-Image”分割成不重叠B×B块的算法。然后,它隐藏在“Cover-Image”的蓝色层的第4到第7位层的数据,通过为每个块中的每个字符生成唯一的tixt2矩阵模式。LSB方法是一种将数据隐藏在“Cover-Image”像素的最低有效位的算法,这对“Stego-Image”的透明度影响最小。该算法利用RGB“Cover-Image”的蓝色层的前3位层和第4 ~ 7位层分别采用LSB和MP方法对“Message”进行隐藏。该算法对“消息”有两个入口;其中一个只能是文本,“文本消息”,这是隐藏的MP方法。另一种是“二进制消息”,它可以是任何数字媒体,并使用LSB方法隐藏。仿真和评价结果表明,该方法的容量比LSB和MP方法分别高出1.265倍和4.77倍以上。我们的结果还表明,最终的“Stego-Image”具有高质量的PSNR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel steganography method based on matrix pattern and LSB algorithms in RGB images
In this paper, a new steganography algorithm that combines two different steganography methods, namely Matrix Pattern (MP) and Least Significant Bit (LSB), is presented for RGB images. These two methods use the spatial domain of images for hiding secret messages; however, they differ from each other, fundamentally. The MP method is an algorithm which, firstly, divides the "Cover-Image" into non-overlapping B×B blocks. Then, it hides the data in the 4th through 7th bit layers of the blue layer of the "Cover-Image", by generating unique tixt2 matrix patterns for each character in each block. The LSB method is an algorithm that hides data in the least significant bit of the "Cover-Image" pixels, which has the least visible effect on the transparency of the "Stego-Image". In the proposed algorithm, the first three bit layers, and the 4th to 7th bit layers of the blue layer of the RGB "Cover-Image" is used for hiding the "Message", with LSB and MP methods, respectively. This algorithm has two entrances for the "Message"; one of them can be only text, "Text Message", which is hidden with the MP method. The other one, "Binary Message", can be any digital media, and is hidden with the LSB method. Our simulation and evaluation results show that this new method has a better capacity than the LSB and MP methods, by more than 1.265 and 4.77 times, correspondingly. Our results also indicate that the final "Stego-Image" has a high quality PSNR.
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