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Robust Non-blind Video Watermarking Using DWT and QR Decomposition

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Computational Intelligence in Pattern Recognition

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 999))

Abstract

In this article, a robust and non-blind watermarking technique is presented for video data. In the embedding step, a gray-scale image is embedded into the key frames using DWT and QR decomposition. Before embedding, watermark is scrambled using Fibonacci-Lucas transform to enhance the security level of the watermark. The result of the experiment established that the proposed method is robust against different attacks like salt-and-pepper noise, rotation, Gaussian noise, blurring, cropping, frame averaging, compression, etc. The performance of the proposed technique is also compared with existing methods and it is established that current methods perform better than the existing methods.

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Correspondence to Chinmay Maiti .

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Maiti, C., Dhara, B.C. (2020). Robust Non-blind Video Watermarking Using DWT and QR Decomposition. In: Das, A., Nayak, J., Naik, B., Pati, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-9042-5_28

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