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Theoretical capacity measures for data hiding in compressed images

机译:压缩图像中数据隐藏的理论容量度量

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Abstract: We present an information-theoretic approach to obtain an estimate of the number of bits that can be hidden in still images, or, the capacity of the data-hiding channel. We show how the addition of the message signal or signature in a suitable transform domain rather than the spatial domain can significantly increase the channel capacity. Most of the state-of-the-art schemes developed thus far for data-hiding have embedded bits in some transform domain, as it has always been implicitly understood that a decomposition would help. In this paper we compare the achievable data-hiding capacities for different decompositions like DCT, Hartley, Hadamard, and subband transforms. We show that transforms with inferior energy compaction property like Hartley and Hadamard are better choices for the decomposition, than transforms with good energy-compaction property, like DCT or subband transforms. !9
机译:摘要:我们提出了一种信息理论方法,以获取可隐藏在静止图像中的位数或数据隐藏通道的容量的估计值。我们展示了在合适的变换域而不是空间域中添加消息信号或签名如何显着增加信道容量。迄今为止,为隐藏数据而开发的大多数最新方案都在某些变换域中嵌入了位,因为人们一直暗中了解到分解会有所帮助。在本文中,我们比较了不同分解(例如DCT,Hartley,Hadamard和子带变换)可实现的数据隐藏能力。我们证明,具有较差的能量压缩特性的变换(例如,Hartley和Hadamard)比具有良好能量压缩特性的变换(例如,DCT或子带变换)是更好的分解选择。 !9

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