摘要
视觉注意力是人类感知系统中一个十分重要的特性,但目前基于人类视觉感知机理的隐写算法大多只考虑亮度、对比度和掩蔽效应等低层因素.文中将视觉注意力模型引入隐写算法中,提出一种新的基于视觉注意力和局部复杂性的图像隐写算法.算法先采用均方差分析图像的局部复杂性,在复杂性较大的区域引入Itti模型构造注意力显著图,进而利用视觉熵来定量刻画注意力特性,并将图像分块处理,图像块按照不同的局部复杂程度和注意力等级分成3种类型,最终利用LSB方法进行隐写.大量实验结果表明,文中算法在嵌入大量信息后仍能保持较好的视觉感知效果,且能抵抗一类通过直方图对比的隐写分析方法.
Visual attention is an important characteristic in the human perception system. However, most visual perception based steganography algorithms consider low-level factors only, such as brightness, contrast and masking effect. A gray image steganography algorithm is proposed based on visual attention and local complexity. The local complexity of the image is analyzed by standard deviation algorithm. Then, the Itti visual attention model is introduced into more complex areas, and the attention characteristics are quantitatively identified by visual entropy. Finally, the steganography is implemented by LSB method on different image blocks segmented through the hierarchies of visual attention and local complexity. The experimental results show that the proposed algorithm maintains good imperceptibility after embedding large-capacity information and resists the histogram contrast steganalysis.
引文
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