信息隐藏
隐写分析技术
稳健性(进化)
分形
隐写术
计算机科学
渲染(计算机图形)
人工智能
争先恐后
像素
计算机视觉
数字水印
模式识别(心理学)
算法
图像(数学)
数学
生物化学
基因
数学分析
化学
作者
Xiang Zhang,Fei Peng,Zi-Xing Lin,Min Long
标识
DOI:10.1142/s0218127420500625
摘要
To improve the robustness and imperceptibility of the existing coverless image information hiding, a generative coverless image information hiding algorithm based on fractal theory is proposed in this paper. Firstly, four fractal image generation methods are analyzed, and the relationship between the coverless information hiding and these methods is discussed. Secondly, based on the fractal image generation algorithm, secret information is hidden by controlling pixel rendering during the generation process. The robustness, imperceptibility, and capability of resisting steganalysis are balanced by adjusting the rendering distance. As it directly generates stego images, this can resist the detection of most existing steganalysis methods. Meanwhile, different capacities can be achieved by adjusting the size of the generated image. Experimental results and analysis show that the proposed scheme can effectively resist steganalysis and has good robustness against various image attacks. Furthermore, it can achieve large capacity, and it has broad prospects for covert communication.
科研通智能强力驱动
Strongly Powered by AbleSci AI