Neural Style Transfer (NST) and Steganography Dataset for NCSM

This dataset consists of 17 content images and 16 style images created using a combination of DALL·E-generated AI artwork and hand-drawn elements to ensure originality. The images were digitally processed and formatted to be compatible with Neural Style Transfer (NST) models.

The dataset is designed for research on style transfer and steganography, specifically within the Neural Crypto Stego Model (NCSM). In this study, an encrypted message was embedded into a transformed content image using Least Significant Bit (LSB) steganography. The dataset provides a valuable resource for evaluating and comparing different NST methodologies and their effectiveness in secure communication.