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The adaptive algorithm of information unmistakable embedding into digital images based on the discrete Fourier transformation

机译:基于离散傅里叶变换的信息无误嵌入数字图像的自适应算法

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摘要

Many effective methods of the data embedding into digital images are based on the frequency transformations. However use of similar transformations is connected to the following problem: the built-in message is distorted because of information losses in case of restoration of pixels' integer values from the frequency domain. It represents a vital issue if the integrity of the transmitted data is critical. For example, an insignificant distortion of the ciphered message results in impossibility of deciphering and to loss of all ciphered information. In this paper is described the new algorithm of the information embedding into digital images on the basis of the discrete Fourier transformation allowing to provide unmistakable extraction of the built-in messages from the frequency domain. The faultlessness is reached through an iterative procedure of embedding and non-uniform distribution of the message parts for the image-container's blocks. Our algorithm not only solves a problem of the built-in messages distortions, but also provides high visual quality of stego-image. Moreover, our approach to the unmistakable embedding of information into the digital images frequency domain is applicable not only for the discrete Fourier transformation, but also for other frequency transformations.
机译:将数据嵌入数字图像的许多有效方法都是基于频率变换的。但是,使用类似的变换会导致以下问题:在从频域恢复像素整数值的情况下,由于信息丢失,内置消息会失真。如果传输数据的完整性至关重要,则这是一个至关重要的问题。例如,加密消息的微不足道的失真导致解密的可能性以及所有加密信息的丢失。本文介绍了一种基于离散傅立叶变换将信息嵌入数字图像的新算法,该算法允许从频域中无误地提取内置消息。通过嵌入和不均匀分布图像容器块的消息部分的迭代过程,可以实现无故障。我们的算法不仅解决了内置消息失真的问题,而且还提供了隐秘图像的高视觉质量。此外,我们将信息无误地嵌入数字图像频域的方法不仅适用于离散傅立叶变换,而且适用于其他频率变换。

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