Research Article
Generative Image Steganography Based on Digital Cardan Grille
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@INPROCEEDINGS{10.1007/978-3-030-66922-5_24, author={Yaojie Wang and Xiaoyuan Yang and Wenchao Liu}, title={Generative Image Steganography Based on Digital Cardan Grille}, proceedings={Security and Privacy in New Computing Environments. Third EAI International Conference, SPNCE 2020, Lyngby, Denmark, August 6-7, 2020, Proceedings}, proceedings_a={SPNCE}, year={2021}, month={1}, keywords={Image steganography Cardan grille Semantic completion Generative adversarial network}, doi={10.1007/978-3-030-66922-5_24} }- Yaojie Wang
Xiaoyuan Yang
Wenchao Liu
Year: 2021
Generative Image Steganography Based on Digital Cardan Grille
SPNCE
Springer
DOI: 10.1007/978-3-030-66922-5_24
Abstract
In this paper, a generative image steganography algorithm based on digital Cardan Grille is proposed. Combining the ideas of traditional Cardan Grille and the semantic image inpainting technique, the stego image are driven by secret messages directly. The algorithm first embeds the information based on digital Cardan Grille, and then uses generative adversarial network (GANs) to complete the damaged image. The adversarial game not only reconstruct the corrupted image, but also generate a stego image which contains the logic rationality of image content. The experimental results verify the feasibility of the proposed method.
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