Log In Sign Up

Digital Cardan Grille: A Modern Approach for Information Hiding

by   Jia Liu, et al.

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 feeded 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.


page 4

page 8

page 9

page 10

page 11

page 12


The Reincarnation of Grille Cipher: A Generative Approach

In order to keep the data secret, various techniques have been implement...

Steganographic Generative Adversarial Networks

Steganography is collection of methods to hide secret information ("payl...

Synchronization Detection and Recovery of Steganographic Messages with Adversarial Learning

As a means for secret communication, steganography aims at concealing a ...

EncryptGAN: Image Steganography with Domain Transform

We propose an image steganographic algorithm called EncryptGAN, which di...

Usage of analytic hierarchy process for steganographic inserts detection in images

This article presents the method of steganography detection, which is fo...

Generative Steganography by Sampling

In this paper, a new data-driven information hiding scheme called genera...

Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

Completing a corrupted image with correct structures and reasonable text...