G. Yamuna

Secure Multi-Secret Image Steganography Using Channel-Spatial Attention and Residual U-Net with Hybrid Perceptual Loss Optimization

This work proposes a robust, deep learning-based multi-secret image steganography framework capable of securely embedding and recovering multiple secret images within a single cover image. The method introduces a Channel-Spatial Attention-enhanced U-Net architecture (Secret Decoder CBAM U-Net), designed to extract hidd...