School of Computer and Software, Nanjing University of Information Science and Technology, Ning Liu Road, No. 219, Nanjing, 210044, China.
Jiangsu Engineering Centre of Network Monitoring, Ning Liu Road, No. 219, Nanjing, 210044, China.
Math Biosci Eng. 2019 May 23;16(5):4708-4722. doi: 10.3934/mbe.2019236.
Recently, a new information hiding technology called coverless information steganography (CIS) is proposed, which uses the original natural image as stego image for the transmission of secret information which can resist the detection of image steganalysis algorithm, so it received extensive attention and support. However, it is still a low hidden capacity of the CIS methods up to now. This paper proposes a high-capacity coverless information steganography technology. In which we divide the cover image into several image blocks and every image block can represent one bit secret information which improves the capacity greatly. Then we retrieve the image blocks for replacement from the image block database based on secret information and then synthesize them into stego image. The quality of the stego image is still high because the required image blocks are similar to cover image blocks and they are all from natural images. Moreover, in order to improve the retrieval efficiency, we have established a double-level index structure. The experimental results show that compared with the existing CIS methods, the proposed method has larger capacity and better visual quality.
最近,提出了一种新的信息隐藏技术,称为无覆盖信息隐写术(CIS),它使用原始自然图像作为隐写图像来传输秘密信息,可以抵抗图像隐写分析算法的检测,因此受到了广泛的关注和支持。然而,到目前为止,CIS 方法的隐藏容量仍然较低。本文提出了一种大容量无覆盖信息隐写技术。其中,我们将覆盖图像分成几个图像块,每个图像块可以表示一位秘密信息,从而大大提高了容量。然后,我们根据秘密信息从图像块数据库中检索要替换的图像块,然后将它们合成到隐写图像中。由于所需的图像块与覆盖图像块相似,并且都来自自然图像,因此隐写图像的质量仍然很高。此外,为了提高检索效率,我们建立了两级索引结构。实验结果表明,与现有的 CIS 方法相比,所提出的方法具有更大的容量和更好的视觉质量。