Optimum Decoder for an Additive Video Watermarking with Laplacian Noise in H.264
This addresses watermarking robustness for video applications where pixel loss occurs, but it is incremental as it adapts an existing method to a specific noise model.
The paper tackled the problem of video watermarking in H.264 with Laplacian noise, deriving optimum and sub-optimum decoders, and simulation results showed suitable performance with enough transparency for applications.
In this paper, we investigate an additive video watermarking method in H.264 standard in presence of the Laplacian noise. In some applications, due to the loss of some pixels or a region of a frame, we resort to Laplacian noise rather than Gaussian one. The embedding is performed in the transform domain; while an optimum and a sub-optimum decoder are derived for the proposed Laplacian model. Simulation results show that the proposed watermarking scheme has suitable performance with enough transparency required for watermarking applications.