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Multimedia Tools and Applications

, Volume 78, Issue 12, pp 16159–16175 | Cite as

A fast video watermarking algorithm using dual tree complex wavelet transform

  • Reza EsfahaniEmail author
  • Mohammad Ali Akhaee
  • Zynolabedin Norouzi
Article
  • 92 Downloads

Abstract

Illegal camcording as the most common source of video piracy, is the main concern of the film production companies. With the increased speed and convenience of access to the Internet and video sharing services, the distribution of pirated video copies is more than easy. Digital video watermarking is one of the possible ways to prevent the illegal recording and distribution of videos. In this paper, a blind digital video watermarking method based on Dual-Tree Complex Wavelet Transform (DTCWT) is proposed. Here, the generated watermark is embedded in the low frequency coefficients of the chrominance channel of the video frames. The watermark is generated in a way that the detection system does not need to know the size of the original video. To reduce the computational complexity of the proposed method, the embedding process is equivalently done in the spatial domain. The proposed method is compared to the state-of-art methods against different attacks. Experimental results show that the proposed method is more robust against various attacks while maintaining the perceptual quality of the original video significantly better than the compared methods. Also the proposed method is evaluated in terms of computational complexity which reveals that the proposed method performs faster than the compared methods.

Keywords

Video watermarking Video piracy Dual-tree complex wavelet transform Robustness against comcording 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Reza Esfahani
    • 1
    Email author
  • Mohammad Ali Akhaee
    • 2
  • Zynolabedin Norouzi
    • 1
  1. 1.Information Technology and Communication FacultyImam Hossein UniversityTehranIran
  2. 2.Schools of Electrical and Computer Engineering, Faculty of EngineeringUniversity of TehranTehranIran

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