Title :
Self-Embedding Data Hiding for Non-Gaussian State-Dependent Channels: Laplacian Case
Author :
Koval, O. ; Voloshynovskiy, S. ; Pun, T.
Author_Institution :
CVML, CUI-Univ. of Geneva
Abstract :
In this paper, we consider the problem of optimal self-embedding Laplacian data hiding for the state-dependent channels. In particular, we propose to decompose the Laplacian data using the paradigm of parallel source splitting. Experimental validation confirms the efficiency of the proposed approach
Keywords :
channel coding; data encapsulation; image coding; nonGaussian state-dependent channel; parallel source splitting; self-embedding Laplacian data hiding; AWGN; Computer aided software engineering; Data encapsulation; Digital communication; Interference cancellation; Interference constraints; Laplace equations; Memoryless systems; Random variables; Watermarking;
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
DOI :
10.1109/ICME.2006.262633
