Self-Embedding Data Hiding for Non-Gaussian State-Dependent Channels: Laplacian Case

In this paper, we consider the problem of optimal self-embedding Lapalcian 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.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Oleksiy J. Koval, Sviatoslav Voloshynovskiy, Thierry Pun
• Keywords: ICMCS 2006, Parallel Source Splitting, Self-embedding Lapalcian Data, State-dependent Channels