A Robust Watermarking Algorithm Based on Differential Energy and QIM for Uncompressed Video

The Differential Energy Watermarking (DEW) algorithm has been demonstrated as an effective video watermarking algorithm. While in some scenarios, DEW algorithm cannot provide enough robustness and fidelity. In order to solve this problem, a watermarking algorithm for uncompressed video based on Quantization Index Modulation (QIM) and differential energy is proposed in this paper. The experimental results indicate that the proposed algorithm is more robust than original DEW and modified low-frequency DEW for lossy compression and transcoding, while maintaining high fidelity. Besides, the algorithm can be used in real-time applications for its low computation complexity.