基于最小有效位和四维鲁、刘混沌系统的图像隐写

J. N. Shehab, H. Abdulkadhim
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引用次数: 7

摘要

隐写术的任务之一是利用增强的安全密钥扩展覆盖介质的面积以嵌入更多的秘密消息,然后以最小的错误提取消息。在此方向上,本文提出了利用Lu和Liu两种4-D混沌系统,基于混洗法的隐写最小有效位方法(LSB)在彩色图像中隐藏灰度图像。将彩色图像(RGB模型)分离为三个封面图像(红、绿、蓝),这三个封面图像中的每一个都可以用来隐藏3-shuffle的秘密图像。四维混沌系统提供了一种有效的安全密钥,并且更难以预测攻击。峰值信噪比(PSNR)和均方误差(MSE)证明了秘密图像和掩盖图像在接收端重构后都保持了其清晰性和特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Steganography Based on Least Significant Bit (LSB) and 4-Dimensional Lu and Liu Chaotic System
One of the tasks in steganography is extend area in the cover media for embedding more secret messages with enhancing security key and then extract messages with minimum error. In this direction, this paper propose hiding gray images inside a color image based on steganography Least Significant Bits method (LSB) with shuffling by using two types of 4-D chaotic system (Lu and Liu). The color image (RGB model) separated into three cover images (red, green, and blue) and each one of these three cover images may be used to hide 3-shuffled secret images. 4-D chaotic system provide an efficient security key and more difficult to forecast attack. Peak signal to noise ratio (PSNR) and mean square error (MSE) proves that both of secret and cover images are retains its explicitness and characteristics after reconstruction in the receiver.
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