利用分模函数提高空间域隐写的信息容量和安全性

D. Setiadi, H. Santoso, E. H. Rachmawanto, C. A. Sari
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引用次数: 25

摘要

图像隐写术是一种将信息隐藏到数字图像中的技术,这样信息就不能被人类的感官所感知。隐写技术的两个最重要的方面是有效载荷能力和嵌入信息的不可感知性。本文提出了一种利用除法和模数函数对秘密信息进行爆破的方法,以提高嵌入在数字图像中的信息容量。分割和模数函数还可以提高消息安全性,因为消息被分成两部分并分别发送。一部分嵌入,另一部分作为密钥提取存储。这种方法是在空间域中完成的。空间域是通过直接操纵像素值来实现的隐写技术。LSB是本研究提出的最受欢迎的空间域之一。用PSNR和MSE来衡量不可感知性的质量。本研究的实验结果证明,嵌入信息的容量可以增加两倍,并保持不可感知的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved message capacity and security using divide and modulus function in spatial domain steganography
Image Steganography is a technique for hiding messages into digital images, so messages cannot be perceived by the human senses. The two most important aspects of steganography techniques are the payload capacity and imperceptibility of embedded messages. This research proposes a method to explode secret messages using divide and modulus functions so that the message capacity embedded in a digital image can increase. The divide and modulus function can also improve message security because the messages are split into two part and sent separately. One part embedded and the other is stored as a key extraction. This method is done in a spatial domain. Spatial domains are steganographic techniques performed by manipulating pixel values directly. LSB is one of the most popular spatial domains proposed in this research. To measure the quality of imperceptibility are used PSNR and MSE. Based on the experimental results of this study proved that the capacity of embedded messages can increase twofold and keep maintaining the imperceptibility quality.
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