隐写术
隐写分析技术
有效载荷(计算)
RGB颜色模型
计算机科学
彩色图像
嵌入
人工智能
分拆(数论)
频道(广播)
计算机视觉
像素
颜色深度
信息隐藏
图像(数学)
模式识别(心理学)
数学
图像处理
计算机网络
组合数学
网络数据包
作者
Xin Liao,Yingbo Yu,Bin Li,Zhongpeng Li,Zheng Qin
标识
DOI:10.1109/tcsvt.2019.2896270
摘要
In traditional steganographic schemes, RGB three channels payloads are assigned equally in a true color image. In fact, the security of color image steganography relates not only to data-embedding algorithms but also to different payload partition. How to exploit inter-channel correlations to allocate payload for performance enhancement is still an open issue in color image steganography. In this paper, a novel channel-dependent payload partition strategy based on amplifying channel modification probabilities is proposed, so as to adaptively assign the embedding capacity among RGB channels. The modification probabilities of three corresponding pixels in RGB channels are simultaneously increased, and thus the embedding impacts could be clustered, in order to improve the empirical steganographic security against the channel co-occurrences detection. The experimental results show that the new color image steganographic schemes, incorporated with the proposed strategy, can effectively make the embedding changes concentrated mainly in textured regions, and achieve better performance on resisting the modern color image steganalysis.
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