图像隐写的LSB旋转和反转评分方法

Ryan A. Subong, Arnel C. Fajardo, Yoon-Joong Kim
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引用次数: 5

摘要

图像被修改的越不明显,怀疑它包含秘密消息或图像的可能性就越小。本文提出了一种图像隐写方法,其中秘密消息的位信息替换封面图像RGB(红绿蓝)字节的LSB(最低有效位),就像许多LSB图像隐写方法一样,只是秘密消息的位在替换之前经历了一系列评估和评分的位旋转和反转操作。使用MSE和PSNR作为图像质量的度量,该方法生成的隐写图像比现有的LSB替换和自适应LSB嵌入算法的每字节4位替换方法产生更小的失真。然而,所提出的方法在安全性方面并没有提供显著的鲁棒性改进。
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LSB Rotation and Inversion Scoring Approach to Image Steganography
The less obvious that an image has been modified, the less it will be suspected of containing a secret message or image. This paper proposes an image steganographic approach wherein the bit information of the secret message replaces the LSBs (least significant bit) of the RGB (red green blue) bytes of the cover image just like many of the LSB image steganography methods, except that the bits of the secret message undergo a series of evaluated and scored bit rotation and inversion operations prior replacement. Using MSE and PSNR as a measure of image quality, the stego image generated by this proposed approach produced lesser distortion than the existing four bits per byte replacement approach of LSB Replacement and Adaptive LSB Embedding algorithms. The proposed approach however does not offer significant improvement of robustness in terms of security.
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