一种压缩LSB隐写方法

N. Akhtar, Vasim Ahamad, Hira Javed
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引用次数: 12

摘要

最低有效位(LSB)隐写术的主要特点是其隐藏能力和不可感知性,这是用峰值信噪比(PSNR)来衡量的。这两个因素之间存在权衡。本文提出并实现了一种改进的LSB隐写方法,该方法使用模函数进行数据隐藏,在保持隐藏容量不变的情况下,其隐蔽性优于以往的方法。提出的隐写方法将秘密数据分解为两个部分。利用模函数将各分量隐藏到封面图像像素中。同时还考虑了秘密数据成分中的重复。实验结果表明,在保密数据具有高度随机性的情况下,该方法优于现有方法。
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A compressed LSB steganography method
A least significant bit (LSB) Steganography is mainly characterized by its hiding capacity and imperceptibility which is measured by Peak Signal to Noise Ratio (PSNR). There is a trade-off between these two factors. In this paper, an improved LSB Steganography which uses modulus function for data hiding method has been proposed and implemented which is better than previous methods in imperceptibility keeping the hiding capacity same. The proposed Steganography method breaks the secret data into two components. Each component is hidden into cover image pixels using modulo function. Repetition in secret data component is also considered. Results show that the proposed method is better than existing methods unless there is high randomness in secret data.
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