基于webp的大容量图像隐写

Eittipat Kraichingrith, Suphakant Phimoltares
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引用次数: 0

摘要

目前,密码学在数据保护中得到了广泛的应用,然而,该方案的一个主要缺点是它会引起攻击者的注意,从而导致这些数据的可感知性。为了处理这类问题,可以使用隐写术来代替。它可以在两个域内操作:空间域和频率域。通常,基于空间域的方法通常比基于变换域的方法产生更高的有效负载。另一方面,基于变换域的方法通常可以很好地处理图像压缩。在最近的一项调查中,现有的许多基于变换域的方法都是针对基于jpeg的图像设计的。尽管基于JPEG的图像被广泛使用,但在海量图像通过互联网传输的云时代,JPEG压缩性能还不够好。因此,WebP等较新的图像格式被提出以提供更好的压缩性能。本文提出了一种基于WebP的图像隐写新方案。与现有的基于jpeg的方法相比,该方法在数据容量、图像质量和文件大小方面都有较好的归档性能。此外,由于WebP支持alpha通道。因此,本文还介绍了利用alpha信道进行图像隐写的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WebP-based high capacity image steganography
Nowadays, Cryptography is widely used in data protection, however, one major drawback of the scheme is that it draws attention to an attacker, which results in perceptibility of those data. In order to handle this kind of problem, Steganography can be used instead. It can be operated in two domains: spatial and frequency domains. Usually, spatial domain-based methods usually yield higher payload than transform domain-based methods. On the other hand, transform domain-based methods usually work well with image compression. In a recent survey, many existing transform domain-based methods are designed for a JPEG-based image. Even though the JPEG-based image is widely used, the JPEG compression performance is not good enough in cloud era for which tons of images are transferred over the internet. Thus, the newer image format such as WebP is presented to provide better compression performance. In this research, the new scheme for image steganography based on WebP is presented. The proposed method archived good performance in terms of data capacity, image quality and file size compared to the existing JPEG-based method. Moreover, because WebP supports alpha-channel. Thus, image steganography with alpha-channel is also introduced.
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