IEEE Signal Processing Society

Contributed by Dr. Weiqi Luo and co-authors, based on the IEEEXplore® article, “Steganography Embedding Cost Learning With Generative Multi-Adversarial Network”, published in the IEEE Transactions on Information Forensics and Security, 2023.

Introduction

Proposed Method

As shown in Fig. 1, the proposed Steg-GMAN model retains the typical GAN structure while introducing key enhancements to overcome the limitations of related methods.

Fig. 1. The network architecture of the proposed method