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Wavelet based image steganographic system using chaotic signals

机译:基于小波的混沌信号图像隐写系统

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The main requirements of efficient steganographic systems are transparency, robustness and security. In this work, the proposed system is designed to achieve these requirements, as follows: to increase the transparency and robustness, the proposed system uses the transform domain technique, in this case the wavelet domain technique to embed the color secret image into the color cover image. To achieve high security, chaotic systems are used to accomplish the following two purposes: firstly to scramble the secret color image before hiding it into the color cover image, secondly to randomly select the embedding positions in the cover image. Three chaotic systems with many combinations are used for the scrambling and the embedding process. Experimental results including Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Correlation, Signal to Noise Ratio (SNR) and embedding capacity demonstrate that the proposed system has good performance as compared with other existing methods without attack and under different types of attacks such as filtering and noise attacks. Simulation results show that the combination of chaotic systems providing the best performance include the use of Logistic and Hénon maps for the embedding process and Arnold's cat map for the encryption process. The MSE, PSNR, correlation, SNR and embedding capacity obtained in this case reach up to 0.0010, 78.1dB, 0.9999, 67.2dB and 0.39% respectively when the secret image is Airplane with 32×32 pixels and the cover image is Girl with 512×512 pixels. For the extracted secret image, the chaotic system set that provides the best performance includes the use of Arnold's cat map for the encryption process. The MSE, PSNR, correlation and SNR obtained in this case reach up to 0.0846, 58.9dB, 1 and 56.1dB respectively. As compared with other methods, the proposed method achieves gains without any attack of 8.2dB for the stego image and 32.4dB for the extracted secret image in PSNR when the secret image is Airplane with 256×256 pixels and the cover image is Girl with 512×512 pixels.
机译:高效隐秘系统的主要要求是透明度,鲁棒性和安全性。在这项工作中,提出的系统旨在满足以下要求:为了提高透明度和鲁棒性,提出的系统使用变换域技术,在这种情况下,采用小波域技术将彩色秘密图像嵌入彩色封面中。图片。为了获得较高的安全性,混沌系统用于实现以下两个目的:首先在将秘密彩色图像隐藏到彩色封面图像之前对其进行加密,其次随机选择封面图像中的嵌入位置。具有多种组合的三个混沌系统用于加扰和嵌入过程。均方误差(MSE),峰值信噪比(PSNR),相关性,信噪比(SNR)和嵌入能力等实验结果表明,该系统与其他现有方法相比具有良好的性能,没有受到攻击并且在不同条件下攻击类型,例如过滤和噪声攻击。仿真结果表明,提供最佳性能的混沌系统相结合,包括使用Logistic和Henon映射进行嵌入过程以及使用Arnold的cat映射进行加密过程。当机密图像是32×32像素的飞机并且封面图像是512的女孩时,在这种情况下获得的MSE,PSNR,相关性,SNR和嵌入能力分别达到0.0010、78.1dB,0.9999、67.2dB和0.39%。 ×512像素。对于提取的秘密图像,提供最佳性能的混沌系统集包括使用Arnold的猫图进行加密过程。在这种情况下获得的MSE,PSNR,相关性和SNR分别达到0.0846、58.9dB,1和56.1dB。与其他方法相比,当秘密图像是飞机(256×256像素)并且封面图像是女孩(512)时,在PSNR中,隐秘图像的增益为8.2dB,提取的秘密图像为32.4dB,而没有任何攻击×512像素。

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