Image Steganography and Style Transformation Based on Generative Adversarial Network

Image Steganography and Style Transformation Based on Generative Adversarial Network

Traditional image steganography conceals secret messages in unprocessed natural images by modifying the pixel value, causing the obtained stego to be different from the original image in terms of the statistical distribution; thereby, it can be detected by a well-trained classifier for steganalysis....

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Bibliographic Details
Main Authors: Li Li, Xinpeng Zhang, Kejiang Chen, Guorui Feng, Deyang Wu, Weiming Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
Generative Adversarial Network (GAN)
image steganography
style transfer
Online Access:https://www.mdpi.com/2227-7390/12/4/615

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