随机嵌入加密信息的混合图像隐写方法

Umer Iqbal
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引用次数: 0

摘要

在输入图像中嵌入加密信息的主要挑战是利用混合图像隐写方法提高机密信息的安全性。此外,早期基于LSB的解决方案要么不加密嵌入秘密信息,要么非随机嵌入图像中,现有的基于MSB的信息隐藏解决方案也最小化了信息容量和图像质量。现有的隐写系统大多基于LSB或MSB,但只有一些混合方案可用,其中机密信息在嵌入到图像中之前不进行编码,嵌入系统也不是基于随机的。现有的基于混合的图像隐写技术不仅在性能上存在不足,而且在编码数据嵌入方面也存在不足。为了克服这些问题,本文提出了一种基于Hybrid-LSB-MSB的图像隐写和多操作数据加密方法。该方法不仅在封面图像中随机嵌入机密信息,而且提供了在替换之前对机密信息进行编码的便利。通过使用均方误差(MSE)和峰值信噪比(PSNR)值(包括有效载荷容量),比较了基于Hybrid- lsb - msb的图像隐写方法与先前基于Hybrid的图像隐写方法。较高的PSNR和较低的MSE值表明有效的隐写质量。实验结果表明,与现有方法相比,该方法保留了较高的PSNR和较小的MSE值,从而有效地提高了隐写性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Image Steganography Method with Random Embedding of Encrypted Message
The main challenge for embedding encrypted message in an input image is to get better the security of the confidential information through hybrid-based image steganography method. Moreover, earlier LSB based solutions existed in which either secret information embedded without encryption or embedded un-randomly in an image and existing MSB based information concealing solutions minimizes information capacity and image quality too. Most of existing steganographic systems either based on  LSB or  MSB but only some hybrid solutions are available in which either the confidential message is not encoded before embedding it into the image and the embedding system is also not random based.  The existing well known hybrid based image steganography techniques are not only deficient in performance but also deficient in embedding of encoded data in an image. To overcome these issues, a Hybrid-LSB-MSB based image steganography and multi-operation data encryption method is proposed in this article. Proposed method is not only randomly embeds the confidential information in a cover image but also provided the facility to encode the confidential information before substituting. The Hybrid-LSB-MSB based proposed image steganography method is compared with earlier Hybrid based image steganography method by using Mean Squared Error (MSE) and Peak Signal to Noise Ratio (PSNR) values including payload capacity. Higher PSNR and Lower MSE values signify effective steganography quality. The experimental results show that proposed method retains higher PSNR and lesser MSE values as contrasted to the existing methods thereby effective in steganographic properties.    
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