Author: A. A. Sirota, M. A. Dryuchenko, E. Yu. Mitrofanova (Voronezh State University, Voronezh, Russia)
JCIT: Journal of Convergence Information Technology. — 2013. — V. 8. — Issue 11. — P. 616—624 (June 2013)
Abstract
The article suggests an approach to hidden digital watermarks (DWM) creation for digital content objects, based on neural network models of functional data conversion. Steganographic DWM embedding and decoding algorithms with the use of feed-forward neural networks are considered. The resistance capacity of the proposed steganographic algorithms is studied and examples of their implementation in image data digital watermarking are given.
Keywords
Full text