An Image Style Transfer Network Using Multilevel Noise Encoding and Its Application in Coverless Steganography

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Zhang, Shanqing
Su, Shengqi
Li, Li
Zhou, Qili
Lu, Jianfeng
Chang, Chin-Chen
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2019
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https://creativecommons.org/licenses/by/4.0/
Abstract

Most of the existing image steganographic approaches embed the secret information imperceptibly into a cover image by slightly modifying its content. However, the modification traces will cause some distortion in the stego-image, especially when embedding color image data that usually contain thousands of bits, which makes successful steganalysis possible. A coverless steganographic approach without any modification for transmitting secret color image is proposed. We propose a diversity image style transfer network using multilevel noise encoding. The network consists of a generator and a loss network. A multilevel noise to encode matching the subsequent convolutional neural network scale is used in the generator. The diversity loss is increased in the loss network so that the network can generate diverse image style transfer results. Residual learning is introduced so that the training speed of network is significantly improved. Experiments show that the network can generate stable results with uniform texture distribution in a short period of time. These image style transfer results can be integrated into our coverless steganography scheme. The performance of our steganography scheme is good in steganographic capacity, anti-steganalysis, security, and robustness.

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Symmetry
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© 2019 The Authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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Physical sciences
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Multidisciplinary Sciences
Science & Technology - Other Topics
convolutional neural networks
coverless steganography
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Zhang, S; Su, S; Li, L; Zhou, Q; Lu, J; Chang, C-C, An Image Style Transfer Network Using Multilevel Noise Encoding and Its Application in Coverless Steganography, Symmetry, 2019, 11 (9)
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