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Image Hiding by Using Genetic Algorithm and LSB Substitution

机译:使用遗传算法和LSB替代的图像隐藏

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摘要

In this paper, we propose a new image hiding method by using LSB substitution for improving stego-image quality. In this method, we try to transform the secret image into meaningless picture by using a bijective mapping function so that the difference of embedded secret image bits and LSB bits of host image pixels is of minimum possible value. This operation results in the encryption of the secret image. Thus, if grabbers detect existence of the secret image into stego-image, they won't be able to recognize the secret image exactly. As a result, the security of our method will be increased. We use genetic algorithm for setting parameters of bijective mapping function to obtain the best condition in distribution of the pixels. We compare the our proposed method with LSB substitution method and Chang et al.'s method. The experimental results show that our proposed method has enhanced both the quality and the security of stego-image by using LSB substitution method. In addition, our method results are approximately close to the results of Chang et al.'s method.
机译:在本文中,我们提出了一种使用LSB替代的新图像隐藏方法,以提高隐秘图像的质量。在这种方法中,我们尝试通过使用双射映射函数将秘密图像转换为无意义的图片,以使嵌入的秘密图像位与主机图像像素的LSB位之差为最小可能值。该操作导致秘密图像的加密。因此,如果抢劫者将秘密图像检测为隐匿图像,则他们将无法准确识别秘密图像。结果,将增加我们方法的安全性。我们使用遗传算法来设置双射映射函数的参数,以获得像素分布的最佳条件。我们将我们提出的方法与LSB替代方法和Chang等人的方法进行了比较。实验结果表明,本文提出的方法通过使用LSB替代方法提高了隐秘图像的质量和安全性。此外,我们的方法结果与Chang等人的方法的结果近似。

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