Image Steganography in Chaotic Network in Transform Domain

Image Steganography in Chaotic Network in Transform Domain

Rahul Choudhary1 Priyanka Choudhary2

Abstract: In the present security scenario, implementing tele-health solutions has become an emerging trend at global level. It primarily focuses on employing latest information and communication technologies (ICT) to cater the requirements of people associated with the health industry, patients, and policy makers Hence there is a need for high end security for tele-health services. In the proposed work, biomedical image security has been addressed using a multi-layer approach. The propose system works on the Discrete Cosine Transform, Discrete Wavelet Transform (DWT) and Chaotic Neural Networks for biomedical image security. The performance metrics have been chosen as Mean Square Error, Peak Signal to Noise Ratio, structural similarity index measure (SSIM) number of changing pixel rate (NPCR) and unified averaged changed intensity (UACI).

Keywords: Discrete Cosine Transform, Discrete Wavelet Transform, Chaotic Neural Networks,  Peak Signal to Noise Ratio, structural similarity index measure (SSIM) number of changing pixel rate (NPCR) and unified averaged changed intensity (UACI).