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A data hiding approach using enhanced-RDE in grayscale images

机译:一种使用增强型RDE在灰度图像中的数据隐藏方法

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摘要

Nowadays, the internet has become a broad network enabling many enterprises around the world to interact while sharing data. Nonetheless, this technology has brought many challenges related to securing private information. Information hiding is one of the best and most challenging field dealing with securing organizational sensitive data due to many factors such as identity theft, information phishing, privacy violation, copyright etc. To address these challenges, several data hiding approaches have been already suggested by many researchers around the globe. The main goal was to improve security, embedding capacity and the quality of the stego media. However, research have shown that there is still a challenge to achieve a good embedding capacity while preserving the quality of the stego media. Accordingly, to contribute to overcoming these problems this paper presents a new data hiding approach that ameliorates the quality of the stego image and the embedding capacity using enhanced reduced difference expansion (E-RDE) and pixel block. The grayscale image is first divided into blocks of size 4×1 after that the difference between pixels is computed in each block. To maintain the quality and capacity, the proposed E-RDE is further applied to reduce the difference values. The experiment shows that with this approach good results are yielded compared to the existing approaches.
机译:如今,互联网已经成为一个广泛的网络让世界各地的众多企业进行互动,同时共享数据。尽管如此,这项技术带来了有关保护个人信息很多挑战。信息隐藏是处理保护组织的敏感数据的最佳和最引人注目的领域之一,由于多种因素,如身份盗窃,网络钓鱼信息,侵犯隐私,版权等。为了应对这些挑战,一些数据隐藏方法已经被很多建议世界各地的研究人员。主要目的是为了提高安全性,嵌入容量和隐秘媒体的质量。然而,研究表明,仍然有达到良好的嵌入容量,同时保持隐秘的媒体质量的挑战。因此,为了有助于克服这些问题本文提出了改善了隐写图像的质量,并使用增强的减小差值扩展(E-RDE)和像素块中的嵌入容量一个新的数据隐藏方法。的像素之间的差在每个块中被计算后的灰度图像首先被分成尺寸为4×1块。为了保持质量和容量,所提出的E-RDE进一步施加以减小差值。实验表明,这种方法很好的结果产生了比现有的方法。

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