In this paper, a new framework for construction of Cardan grille for information hiding is proposed. Based on the semantic image inpainting technique, the stego image are driven by secret messages directly. A mask called Digital Cardan Grille (DCG) for determining the hidden location is introduced to hide the message. The message is written to the corrupted region that needs to be filled in the corrupted image in advance. Then the corrupted image with secret message is fed into a Generative Adversarial Network (GAN) for semantic completion. 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.
In the method proposed in our previous work REF , the secret message is written into the corrupted area of a corrupted image that needs to be filled in a grille mask; then, the corrupted stego image is fed into a GAN for stego generation.
Digital Cardan Grille: A Modern Approach for Information Hiding
CSAI '18
Computer Science