DGANS：基于双重生成式对抗网络的稳健图像隐写模型
DGANS: robustness image steganography model based on double GAN Our basic model conceals a gray secret image into a color cover image, which is robust to signal processing or geometric attacks.
If you find the code is helpful to your research, please cite the below paper
竺乐庆*，郭钰，莫凌强，张大兴. DGANS：基于双重生成式对抗网络的稳健图像隐写模型. 通信学报. 2020, 41(1): 125-133. ZHU Leqing, GUO Yu1 MO Lingqiang, ZHANG Daxing. DGANS: robustness image steganography model based on double GAN.Journal on Communications(in Chinese). 2020, 41(1): 125-133.
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End-to-end Trained CNN Encode-Decoder Networks for Image Steganography [Invisible steganography via generative adversarial networks[J]. Multimedia Tools and Applications, 2019, 78(7): 8559-8575.]