Adaptative image watermarking scheme based on neural network - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Engineering Science and Technology Année : 2011

Adaptative image watermarking scheme based on neural network

Résumé

Digital image watermarking has been proposed as a method to enhance medical data security, confidentiality and integrity. Medical image watermarking requires extreme care when embedding additional data, given their importance to clinical diagnosis, treatment, and research. In this paper, a novel image watermarking approach based on the human visual system (HVS) model and neural network technique is proposed. The watermark was inserted into the middle frequency coefficients of the cover image's blocked DCT based transform domain. In order to make the watermark stronger and less susceptible to different types of attacks, it is essential to find the maximum amount of interested watermark before the watermark becomes visible. In this paper, neural networks are used to implement an automated system of creating maximum-strength watermarks. The experimental results show that such method can survive of common image processing operations and has good adaptability for automated watermark embedding.
Fichier non déposé

Dates et versions

hal-00724677 , version 1 (22-08-2012)

Identifiants

  • HAL Id : hal-00724677 , version 1

Citer

Sameh Oueslati, Adnane Cherif, Basel Solaiman. Adaptative image watermarking scheme based on neural network. International Journal of Engineering Science and Technology, 2011, 3 (1), pp.748-756. ⟨hal-00724677⟩
110 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More