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An efficient histogram-preserving steganography based on block

机译:基于块的高效直方图保留隐写术

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Abstract In order to reduce the influence on cover image caused by embedding algorithm, while keeping the histogram characteristics of cover image, in this paper a histogram preserving steganography algorithm is proposed based on dividing a secret message into blocks. The secret message and cover image are divided into blocks and the hamming distance of least significant bits is calculated, and then secret message block and mark-bit of cover image block are processed according to the hamming distance. In terms of histogram profit-lost compensation, the processed secret message block is then embedded into the cover image block. Theoretical derivation of modification gain and embedding efficiency in the algorithm is well verified by tests. Compared with the matrix coding steganography algorithm, which also has less unwanted effect on the cover image, the steganography algorithm proposed in this paper achieves higher embedding efficiency, higher capacity, and lower computational complexity other than high histogram consistency. A tradeoff control between embedding capacity and image distortion can be flexibly manipulated at nearly no or little cost of compromising the histogram characteristics.
机译:摘要为了降低嵌入算法引起的对覆盖图像的影响,同时保持封面图像的直方图特性,在本文中,提出了一种基于将秘密消息划分为块的直方图保留的隐写算法。秘密消息和封面图像被分成块,并且计算最低有效位的汉明距离,然后根据汉明距离处理秘密消息块和覆盖图像块的标记位。就直方图损失补偿而言,然后将处理的秘密消息块嵌入到封面图像块中。通过测试验证了算法中修改增益和嵌入效率的理论推导。与矩阵编码隐写算法相比,该覆盖图像的对效应较小,本文提出的隐写效率算法较高的嵌入效率,较高容量,以及除高直方图一致性之外的更低的计算复杂性。可以灵活地操纵嵌入容量和图像失真之间的权衡控制,几乎没有或重复损害直方图特征。

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