A novel approach for non-destructive steganography by predetermination

This paper presents a non-destructive steganography method that constructs static images based on a diffusion-stable approaches with hex description of hidden data. Unlike traditional approaches that embed data into existing images – altering them irreversibly – this method preserves the integrity of the visual carrier. Steganography relies on human visual limitations to conceal information, and many existing techniques (e.g., LSB, transform-based, fractal, RGB methods) modify image data. These can be grouped into two types: altering digital data and overlaying templates. In contrast, our approach generates a new image from the hex input and PyTorch model with diffusion transformers. This approach could ensure secure, reversible information hiding suitable for modern confidentiality needs.