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A Survey of Image Information Hiding Algorithms Based on Deep Learning

机译:基于深度学习的图像信息隐藏算法调查

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摘要

With the development of data science and technology, information security has been further concerned. In order to solve privacy problems such as personal privacy being peeped and copyright being infringed, information hiding algorithms has been developed. Image information hiding is to make use of the redundancy of the cover image to hide secret information in it. Ensuring that the stego image cannot be distinguished from the cover image, and sending secret information to receiver through the transmission of the stego image. At present, the model based on deep learning is also widely applied to the field of information hiding. This paper makes an overall conclusion on image information hiding based on deep learning. It is divided into four parts of steganography algorithms, watermarking embedding algorithms, coverless information hiding algorithms and steganalysis algorithms based on deep learning. From these four aspects, the state-of-the-art information hiding technologies based on deep learning are illustrated and analyzed.
机译:随着数据科学和技术的发展,信息安全得到了进一步关注。为了解决隐私问题,如个人隐私被捕获和被侵犯的版权,已经开发了信息隐藏算法。图像信息隐藏是利用封面图像的冗余来隐藏它中的秘密信息。确保通过封面图像与封面图像不同,并通过SEGO图像的传输将秘密信息发送到接收器。目前,基于深度学习的模型也广泛应用于掩藏信息领域。本文在基于深度学习的图像信息隐藏的情况下进行了整体结论。它被分为四个部分的隐写算法,水印嵌入算法,基于深度学习的覆盖嵌入算法,无隐性信息隐藏算法和麻痹算法。从这四个方面来看,说明和分析了基于深度学习的最先进的信息隐藏技术。

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