重新探讨LSB匹配的降噪方法

H. Tien, H. Le
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引用次数: 5

摘要

本文提出了一种新的LSB匹配重访(LSB- mr)方法,这是一种将信息位嵌入静止图像的隐写方法。我们的方法使用二进制图像作为消息。改进后的方法不是嵌入全部的消息位,而是只使用一半的消息位进行嵌入。在提取阶段,对嵌入部分进行重构后,以较小的错误率生成未嵌入的信息剩余位。采用中值降噪滤波器恢复了大部分的误差位(缺失位)。因此,该方法可以嵌入与LSB-MR相同的有效载荷,但对覆盖图像的更改较少。在1338张未压缩图像上进行的实验结果表明,与LSB-MR相比,新方法在覆盖图像质量和抗隐写分析方面具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noise reduction approach for LSB matching revisited
This paper proposes a new approach to LSB Matching Revisited (LSB-MR), a steganographic method for embedding message bits into a still image. Our method uses binary images as messages. Instead of embedding a full of message bits, the modified method just uses a half of message bits for embedding. In extracting phase, after reconstructing the embedding part, the remain bits of message (without embedding) are generated with an small error ratio. Most of error bits (missing bits) are restored by Median denoise filter. Therefore, the proposed method allows embedding the same payload as LSB-MR but with fewer changes to cover image. The experimental results, evaluated on 1338 uncompressed images, show that the new method has better performance, compared to LSB-MR, in terms of cover image quality and resistance against existing steganalysis.
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