Data security has been a major concern for all means of communication lately. As Steganography offers such a unique form of securing data, in this paper, two novel image steganography algorithms are proposed based on generalized chaotic maps. Only one chaotic map is employed in the first algorithm and used for one dimensional memory indexing, while two maps are employed in the second algorithm for two dimensional memory indexing. The pseudorandom numbers used for the cover image pixel’s position selection are the maps' iterative outputs. The generalization technique of logistic maps is employed adding extra degrees of freedom for the design of different chaotic behaviors, thus enhancing the security levels of the proposed algorithms. Four different image sets are employed for methods' validation. Several performance metrics such as Peak Signal to Noise Ratio (PSNR), the Mean Squared Error (MSE), the Structural Similarity Index (SSIM), Normalized Cross Correlation (NCC) and the Image Fidelity (IF) are employed to compare between both methods. The high efficiency of the proposed algorithms compared to other work in literature is validated. The hardware designs of the two algorithms are implemented on Xilinx Virtex 7 FPGA board, achieving 350 MHz frequency.

最近，数据安全一直是所有通信方式的主要关注点。由于隐写术提供了这种独特的数据保护形式，因此本文提出了两种基于广义混沌映射的新颖图像隐写算法。在第一种算法中仅使用一个混沌映射并将其用于一维内存索引，而在第二种算法中将采用两种映射用于二维内存索引。用于封面图像像素位置选择的伪随机数是地图的迭代输出。采用逻辑映射的泛化技术为设计不同的混沌行为增加了额外的自由度，从而提高了所提出算法的安全性。方法验证采用四个不同的图像集。两种性能指标，例如峰值信噪比（PSNR），均方误差（MSE），结构相似性指数（SSIM），归一化互相关（NCC）和图像保真度（IF），均用于比较这两种方法。与文献中的其他工作相比，所提出算法的高效性得到了验证。两种算法的硬件设计均在Xilinx Virtex 7 FPGA板上实现，可实现350 MHz的频率。