Paper
12 October 2022 Coverless image steganography based on neural style transfer
Jing Liu, Hui Yang, Qiannan Li
Author Affiliations +
Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 123422W (2022) https://doi.org/10.1117/12.2643018
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China
Abstract
Traditional image steganography often utilizes modifying the pixel values of the carrier image to embed secret image information. However, once the pixel value of the carrier image is modified, it will leave a trace of modification, which is easy to be discovered by a third party, thereby destroying the secret image information and causing the failure of the secret image transmission. This paper proposes a coverless image steganography algorithm based on style transfer, which uses the style of secret images to generate camouflage images and transmit them on public channels. This method does not need to modify the pixel values of carrier images, and the method can resist common attacks. Our method consists of two parts: sender and receiver. In the sending stage, we first use the style transfer technique to combine the style of the secret image with the content of the natural image to generate a camouflage image, and in the receiver stage we design a convolutional neural network (CNNSI) to extract the secret image. The training data set of CNNSI network consists of camouflage images subjected to various attacks. Experimental results show that, compared with the existing methods, the proposed method can still extract the secret image after the camouflage image is attacked. This method has better robustness and security.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Liu, Hui Yang, and Qiannan Li "Coverless image steganography based on neural style transfer", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 123422W (12 October 2022); https://doi.org/10.1117/12.2643018
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Camouflage

Image transmission

Steganography

Image compression

Convolution

Receivers

Quantization

Back to Top