Capacity improvement of reversible data hiding scheme through better prediction and double cycle embedding process

A. Kamal, M. M. Islam
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引用次数: 13

Abstract

For better protection of surreptitious information from the intruders, steganography is now a widely used technique for hiding information through bits embedding inside a picture, speech and other multimedia contents. Among many different steganography schemes, prediction errors based reversible data hiding methods are more effective for security reasons. Nevertheless such techniques presented so far can embed limited number of message bits in a cover media and thus limit the length of covert message to be sent through embedding. In this paper, the authors presented a novel embedding process, called double cycle embedding scheme, where embedding capacity is increased significantly by modifying the scheme of estimation of pixel values, the block-variance calculation technique, selecting two highest most peaks in the histogram regardless their positions and embedding twice in the same cover image. The scheme also modified the pixel-prediction technique for the better predictions and for generalization of block-sizes in the cover image to increase the robustness of the policy. The experimental results demonstrate that the proposed scheme dictates other competing schemes with an embedding gain of 40%~700% depending on the cover image. The experimental results also demonstrate that the scheme exhibits stronger resistance against several statistical attacks, e.g. Benford generalized laws, SPAM features.
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通过更好的预测和双周期嵌入过程提高可逆数据隐藏方案的容量
为了更好地保护秘密信息不被入侵者窃取,隐写术现在是一种广泛使用的技术,它通过嵌入在图片、语音和其他多媒体内容中的比特来隐藏信息。在许多不同的隐写方案中,基于预测误差的可逆数据隐藏方法在安全性方面更为有效。然而,目前所提出的这些技术只能在隐藏媒体中嵌入有限数量的信息位,从而限制了通过嵌入发送的隐蔽信息的长度。本文提出了一种新的嵌入方法——双周期嵌入方案,该方案通过修改像素值估计方案、块方差计算技术,在直方图中选择两个最大的峰,而不考虑其位置,在同一封面图像中进行两次嵌入,从而显著提高了嵌入容量。该方案还改进了像素预测技术,以更好地预测和推广覆盖图像中的块大小,以提高策略的鲁棒性。实验结果表明,根据不同的覆盖图像,该方法的嵌入增益可达40%~700%。实验结果还表明,该方案对Benford广义定律、SPAM特征等统计攻击具有较强的抵抗能力。
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