From Pixel Modification to Generative Synthesis: A Survey of Deep Learning for Image Data Hiding
This survey presents a structured review of deep learning-based techniques for image data hiding, proposing a three-paradigm taxonomy organized by the method’s operational relationship to the carrier image. We classify existing methods into modification-based, synthesis-based, and logic-based approaches. In the modific...