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An adaptive algorithm for embedding information into compressed JPEG images using the QIM method
arXiv - CS - Multimedia Pub Date : 2020-12-16 , DOI: arxiv-2012.08742
Anna Melman, Pavel Petrov, Alexander Shelupanov

The widespread use of JPEG images makes them good covers for secret messages storing and transmitting. This paper proposes a new algorithm for embedding information in JPEG images based on the steganographic QIM method. The main problem of such embedding is the vulnerability to statistical steganalysis. To solve this problem, it is proposed to use a variable quantization step, which is adaptively selected for each block of the JPEG cover image. Experimental results show that the proposed approach successfully increases the security of embedding.

中文翻译:

使用QIM方法将信息嵌入压缩的JPEG图像中的自适应算法

JPEG图像的广泛使用使其成为秘密消息存储和传输的良好掩护。提出了一种基于隐写QIM方法在JPEG图像中嵌入信息的新算法。这种嵌入的主要问题是易于进行统计隐写分析。为了解决该问题,提出了使用可变量化步骤,该可变量化步骤针对JPEG封面图像的每个块被自适应地选择。实验结果表明,该方法成功地提高了嵌入的安全性。
更新日期:2020-12-17
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