Optimum Decoder for an Additive Video Watermarking with Laplacian Noise in H.264

TL;DR

This paper develops an optimal decoding method for additive video watermarking in H.264, specifically addressing Laplacian noise scenarios common in pixel loss, and demonstrates its effectiveness through simulations.

Contribution

It introduces an optimal decoder tailored for Laplacian noise in video watermarking, enhancing robustness and transparency in the transform domain.

Findings

The proposed scheme performs well under Laplacian noise conditions.

Simulation results confirm the effectiveness of the optimal decoder.

The watermarking method maintains transparency while being robust.

Abstract

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.